SimBot Challenge Rules

Please review the rules before taking part in the challenge.

The Alexa Prize SimBot Challenge (the “Competition”) is a skill competition sponsored by Amazon.com Services LLC (“Sponsor”), in which competing teams of college or university students build Alexa skills using the Alexa Skills Kit APIs (“SimBots”) for use in the United States, that allow Alexa multimodal device users to maneuver a simulated robot to interact with an environment and complete challenges via Amazon Alexa.

Selected teams (as outlined below) will be chosen to compete in this Challenge, with final results announced in April 2023. See below for the complete Competition details.

By applying to or participating in the Competition, you agree to these Official Rules. Please read them carefully.

COMPETITION CALENDAR: The Competition starts on October 4, 2021 and ends in April 2023 (the "Competition Period"). The Competition phases are noted in the calendar below. The dates are approximate and are subject to change at Sponsor’s discretion.

PhasesStartsEnds
Phase 1: Participant application periodOctober 4, 2021October 31, 2021
Phase 2: Sponsor application review periodNovember 1, 2021November 9, 2021
Phase 3: Initial participant notification period/onboardingNovember 10, 2021December 14, 2021
Phase 4: Benchmark challengeJanuary 3, 2022April 29, 2022
Phase 5: Limited second participant application periodMay 9, 2022May 23, 2022
Phase 6: Second sponsor application review periodMay 25, 2022June 3, 2022
Phase 7: Second participant notification period/onboardingJune 6, 2022February 26, 2022
SimBot boot campJuly 18, 2022July 22, 2022
Phase 8: Initial skills development periodJuly 25, 2022August 26, 2022
Phase 9: Skill certification periodAugust 29, 2022September 12, 2022
Phase 10: Internal Amazon beta periodSeptember12, 2022October 10, 2022
Phase 11: Initial feedback periodOctober 11, 2022November 24, 2022
Phase 12: Semifinals interaction periodDecember 1, 2022January 27, 2023
Phase 13: Finals interaction periodJanuary 30, 2023March 27, 2023
Winners announced

April 2023

ELIGIBILITY: To be eligible to participate in the Competition, you must: (1) be enrolled as a full-time undergraduate or post-graduate student at an accredited college or university (other than colleges or universities located in any of the Restricted Jurisdictions defined below) (“Universities”) and remain a full-time student in good standing at such University while participating in the Competition; (2) be at or above the age of majority in your country, state, province or jurisdiction of residence at the time of entry; and (3) not be a person or entity under U.S. export controls or sanctions. Competition is void in Cuba, Iran, Syria, North Korea, Sudan, the region of Crimea, and where prohibited by law (“Restricted Jurisdiction”). People who, during the Competition Period, are directors, officers, employees, interns, and contractors (“Personnel”) of Sponsor, its parents, subsidiaries, affiliates, and their respective advertising, promotion and public relations agencies, representatives, and agents (collectively, “Competition Entities”), immediate families members of such Personnel (parents, siblings, children, spouses, and life partners of each) and members of the households of such Personnel (whether related or not) are ineligible to participate in this Competition. Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time.

Entrants (“Entrants”) must enter as part of an “Entrant Team” consisting of one or more students from a single University. An Entrant is only permitted to be part of one Entrant Team. Any Entrant that is part of more than one Entrant Team may be disqualified and his/her corresponding Entrant Teams may be disqualified at the sole discretion of Sponsor. Only one member of the Entrant Team may submit an application on behalf of an Entrant Team but all those listed on the application are Entrants. All prize money payable to Entrant Teams will be split evenly among the Entrants of a winning Entrant Team (based on the pre-tax amount of prize money), as identified in the application, as updated as permitted by these Official Rules, and who maintain full-time student status in good standing at their University during the entire Competition Period.

Each team must select a faculty advisor, who, with respect to that team, will act as the official representative for the Entrant Team’s University (the “Faculty Advisor”). Each Entrant Team must have its own Faculty Advisor; Faculty Advisors may not represent multiple teams. Faculty Advisors are not members of the Entrant Team and will not receive any portion of any prize. Faculty Advisors must remain full time employees of the Entrant Team University during the entire Competition Period. During the Competition Period, but no later than November 24, 2022, the Faculty Advisor may request to remove members from the Entrant Team or to add additional members to the Entrant Team. The Faculty Advisor must provide an explanation of the reason for the removal or addition, and any proposed new member must provide documentation requested by Sponsor and agree to comply with these Official Rules. Changes to the Entrant Team are subject to Sponsor’s approval in its sole discretion. If at any point during the Competition Period, the Entrant Team’s Faculty Advisor cannot continue to serve as a Faculty Advisor, the Entrant Team may submit a request to Sponsor to select a new Faculty Advisor. Changes to the Entrant Team’s Faculty Advisor are subject to Sponsor’s approval in its sole discretion. If an Entrant Team fails to have a Faculty Advisor at any point in time during the Competition, for any reason, the Entrant Team may be disqualified.

Each Entrant must be eligible to participate in this Competition and comply with these Official Rules or the Entrant, and the Entrant Team associated with that Entrant, may be disqualified. This Competition is subject to all applicable federal, state, territorial, provincial, and local laws. Competition is void where prohibited. By participating in the Competition, all Entrants accept and agree to comply with and abide by these Official Rules and the decisions of the Sponsor which will be final and binding including the Sponsor’s right to verify eligibility, to interpret these Official Rules, and to resolve any disputes relating to this Competition at any time. Only Entrants may work on the SimBot, although members of the Alexa team may provide support to the Entrant Team during the Competition Period, and the Faculty Advisor, and other students and faculty members at the Entrant Team’s University may provide support and advice to the Entrant Teams and may co-author the Technical Article (as defined below) or other research papers.

DESCRIPTION OF COMPETITION PHASES:

PHASE 1 “Participant Application Period”: Between October 4, 2021 and October 31, 2021, the leader of each Entrant Team that wishes to enter the Competition may visit TKTKTK (“Competition Site”) where they may submit their entry information via the YouNoodle, Inc. (“YouNoodle”) application portal, including, but not limited to: complete names, contact information and resumes of all Entrant Team members, proof of University enrolled status (e.g., verification of enrollment or an uploaded copy of Entrants’ student IDs), name and contact information of a sponsoring Faculty Advisor from the Entrant Team’s University, and bio for each Entrant Team member.

SimBot Challenge: SimBot Challenge is an interactive, multimodal dialog-driven game challenge in which a virtual task-driven embodied robot in a simulated home or work environment assists a human user in completing real-world tasks by continuously learning, and gaining the ability to perform commonsense reasoning. The robot, an AI-driven virtual agent designed by each Entrant Team, should perceive its visual environment and understand and interact in conversational language with human users. The objective of the game is for the simulated robot to learn and complete increasingly more complex tasks in an efficient manner with help from a human user (player) as needed. Entrant Teams’ robots will need to be able to appropriately perceive, reason, and take actions in the environment to complete all tasks, and interact with the user to clarify ambiguous instructions and obtain additional information when needed. Participating teams are responsible for designing and delivering a multi-modal conversational AI model that is capable of executing and reasoning the above scenarios efficiently to completion.

Each Entrant Team will be required to answer the following questions:

  1. What is your team’s vision for your SimBot?
  2. How will your SimBot help its users?
  3. How do you want users to feel at the end of an interaction with your SimBot?
  4. How would your team measure success in the Competition?
  5. Please share sample interactions you expect your SimBot to achieve by the end of the Competition.
  6. Describe, in detail, your scientific approach, the related system architecture, any innovative claims, technical challenges you will need to overcome, and risks. Plan for operating at scale when you define the architecture. (2 page PDF structured as a technical paper and architecture diagram with 1 additional page for visual or text explanation of key components and data flow).
  7. What is novel about the team’s approach? (This may be completely new approach or a novel synthesis or extension of existing techniques).
  8. How do you think your work will impact the field of AI?
  9. Please attach an overview of the primary roles, subject matter expertise, and focus/specialty of each of your team members. (1 page)
  10. Please provide a summary of the technical work/research (relevant to your proposed architecture), yours or others’, that you will leverage and how.
  11. How will you ensure you create an experience users find engaging?

Entry Applications may be submitted at any time during the Participant Application Period. Only one individual per Entrant Team may submit an Entry Application on behalf of their Entrant Team. Other members of the Entrant Team must accept the invitation to join the team via the YouNoodle application portal. All Entrants must create an account with YouNoodle if they have not done so already in order to submit an Entry Application or accept an invitation to join an Entrant Team and participate in the Competition. Creating and maintaining a YouNoodle account is free of charge. All Entry Applications must be complete when the Participant Application Period closes at 11:59 pm Pacific Time on October 31, 2021. Entry Applications are not complete until all the online prompts and instructions to upload the Entry Application have been properly followed, the Official Rules have been accepted, and all Entrant Team members and the Faculty Advisor have accepted their invitations to join the Entrant Team via the YouNoodle application portal. Entry Applications may not be revised once submitted. Entry Applications will not be returned and become the property of the Sponsor.
Entry Terms: Determination of compliance with entry and other requirements and these Official Rules will be in the sole discretion of the Sponsor.

By entering, Entrants warrant that:

  1. entries are the original work of the Entrant Team or an update to an original work of the Entrant Team;
  2. entries do not infringe or violate the rights of any third party, including but not limited to, copyrights, trademarks or copyrighted material not owned by the Entrant Team, contract and licensing rights, rights of publicity or privacy, moral rights, or any other intellectual property rights; and
  3. entries are not subject to any third party agreements, and that Sponsor will not be required to pay or incur any sums to any person or entity as a result of its exercise of any rights granted under these Official Rules.

Additional Requirements

Entrant Teams must submit their SimBots via Sponsor’s Developer Portal, and in doing so must agree to the Amazon Developer Services Agreement (“Developer Agreement”). SimBots must comply with the terms applicable to “Alexa Skills” in the Developer Agreement, including the content guidelines and all other Program Policies (as defined in the Developer Agreement). SimBots that cause any harm, as determined by Sponsor in its sole discretion, will be disqualified from the Competition. Questionable or controversial designs or content must be cleared with Sponsor prior to being deployed in a SimBot. All SimBots must interact with users using only the English language. SimBots may not request any personal data or personally identifiable information from Alexa users. All Entrant Teams must host their SimBots using Amazon Web Services (“AWS”) Lambda, and in doing so must agree to the terms of the AWS Customer Agreement. However, Entrant Teams may use other frameworks or web services to build their SimBot, and SimBots may make external calls to other services during run-time execution. During all phases of the Competition, Sponsor may in its sole discretion, require all Entrant Teams to provide periodic status updates, reports, or demonstrations of the SimBots. Sponsor may also require all Entrant Teams to comply with additional rules, requirements, or procedures that Sponsor determines, in its sole discretion, are necessary for the administration of the Competition. Sponsor may, in its sole discretion penalize teams for noncompliance with any rules, requirements, or procedures, up to and including disqualification from the Competition.

Sponsor may also, in its sole discretion, require all SimBots to adhere to requirements designed to ensure that SimBots are focused on the goal of advancing the science of conversational artificial intelligence and to ensure a positive experience for Alexa customers using the SimBot. Sponsor may determine any appropriate penalties for noncompliance with those requirements, including temporary suspension of the SimBot, disregarding ratings for interactions that are non-compliant with such policies, or disqualification from the Competition.

Sponsor may provide Entrants selected to participate in the Competition access to software, software development kits, libraries, APIs, documentation, sample code, templates, data sets, and related materials (“Program Materials”) that may be used in connection with the Competition. If an Entrant uses any Program Materials, he or she is subject to and agrees to comply with Sponsor’s Program Materials License Agreement. Program Materials may include APIs, data sets, and other materials that are not public (“Non-Public Materials”). Entrant Teams whose SimBots are made available through Sponsor’s Alexa service (beginning in Phase 10, below) will also receive automatic speech recognition text transcriptions and other data (e.g., confidence scores) relating to Alexa user interactions with Entrant Team’s SimBot (“Interaction Data”). Each Entrant (and each Faculty Advisor) agrees that he or she will not disclose Non-Public Materials or Interaction Data to anyone other than other Entrants of the Entrant Team and the Entrant Team’s Faculty Advisor without Amazon’s prior written consent. Each Entrant (and each Faculty Advisor) also agrees that he or she will use Non-Public Materials and Interaction Data only in connection with the development and operation of (a) a SimBot as part of the Competition and in compliance with these Official Rules and (b) following the completion of the Competition Period, a SimBot or related bot operating as a stand-alone Alexa skill. Entrants (and Faculty Advisors) may not use Non-Public Materials or Interaction Data for any other purpose. Prior to the conclusion of the Competition Period, Entrants may not publish their SimBot as a stand-alone Alexa Skill or use the Non-Public Materials or Interaction Data to operate the SimBot as a stand-alone Alexa Skill or in connection with other Alexa skills. Entrants (and Faculty Advisors) must return or destroy all Non-Public Materials and Interaction Data (in any form and including, without limitation, all summaries, copies and excerpts of the same) promptly following any request from Sponsor, or if the Entrant Team discontinues the development or operation of its SimBot. If any Entrant or Faculty Advisor is disqualified from the Competition, leaves the University, or otherwise terminates their participation in the Competition, that individual must immediately return or destroy all Non-Public Materials and Interaction Data in their possession. Sponsor reserves the right in its sole discretion to impose additional terms and conditions on the use of Program Materials, and to condition access to Program Materials on Entrants’ agreement to those terms and conditions.

PHASE 2 “Sponsor Application Review Period”: From November 1, 2021, to November 9, 2021, all eligible Entry Applications will be reviewed by a panel of judges chosen by the Sponsor. Up to ten Entrant Teams determined by Sponsor according to the criteria described below will be chosen to participate in the Challenge described below. To select the Entrant Teams chosen to advance to the Challenge, Sponsor will review each of the Entry Applications using the following criteria:

  • The potential scientific contribution to the field;
  • The technical merit of the approach;
  • The novelty of the idea; and
  • An assessment of the Entrant Team’s ability to execute against their plan.

PHASE 3 “Initial Participant Notification Period and On-Boarding”: Leaders of Entrant Teams that have submitted Entry Applications and have been selected by Sponsor to participate in the Competition will be notified by email at the email address provided at time of Entry Application between November 10, 2021, and December 14, 2021. Entrant Teams acknowledge that some Entrants and Faculty Advisors may have participated in prior iterations of the Alexa Prize competition (“Prior Year Teams”).

Stipends: Each Entrant Team selected to participate during the Initial Participant Notification Period will be eligible to receive a stipend award of $250,000 U.S. dollars (paid in any number of installments as determined by Sponsor in its sole discretion, subject to Entrant Team’s continued participation in and eligibility for the SimBot Challenge), which will be awarded to the Universities of the selected Entrant Teams in the form of restricted research grants. These stipends will be awarded to the Universities and not the Entrant Teams or any individual Entrant, and will be subject to the University signing and returning any documents required by Sponsor (including IRS forms W-9 and/or W-8) and to the University agreeing in writing that no more than 35% of the research grants may be allocated to administrative fees. Entrant Teams will not be eligible to begin participating in the Competition until all required documentation has been completed by the University. The grants will be awarded to support two full-time students or the equivalent of two full-time students during the Competition and one month of the Faculty Advisor’s salary. Each University will be responsible for allocating and managing the funds within these guidelines and for payment and reporting of any required taxes, withholdings, fees or duties. Sponsor is not responsible for ensuring all or any portion of stipend research grants are distributed to Entrants. Each member of an Entrant Team whose University receives a stipend award, and its Faculty Advisor, will also receive Alexa-enabled devices (up to a maximum of four devices per Entrant Team, including the device provided to the Faculty Advisor), free AWS services to support the development of their SimBot (subject to reasonable limitations set by Sponsor), and support from the Alexa team as determined by Sponsor.

Stipends are non-transferable except as directed by Sponsor. No stipend substitutions or cash redemptions are allowed except as designed by Sponsor. Except where prohibited by law, all federal, state, provincial or other tax liabilities or withholdings are the responsibility of the University and the Sponsor will not be responsible for any tax deductions which may be necessary, except that Sponsor may withhold taxes as required by law. Universities are responsible for any costs and expenses associated with stipend acceptance and use. If an Entrant Team withdraws from the Competition or does not remain compliant with these Official Rules, Sponsor will be relieved of any obligation to pay any remaining portion of the stipend to the Entrant Team’s University. All details of stipend not specified herein shall be determined solely by Sponsor.

PHASE 4 “Benchmark Challenge”: From January 3, 2022 through April 29, 2022, selected Entrant teams will participate in a Benchmark Challenge. During the Benchmark Challenge, participants will build preliminary SimBots (machine learning models that can complete goals given a dialog history and scene images) using a dataset released by Amazon. The Benchmark Challenge will be publicly hosted on evai.ai, and will be subject to and governed by the Benchmark Challenge rules that will be posted on eval.ai no later than January 3, 2022. Because the Benchmark Challenge will be open to the public, teams may participate even if they were not selected for the SimBot Challenge. Following the Benchmark Challenge, Amazon in its sole discretion may select up to four additional teams to participate in the Simbot Challenge, in accordance with the process below.

PHASE 5 “Limited Second Participant Application Period”: From May 9, 2022 through May 23, 2022, teams that successfully participated in the Benchmark Challenge during Phase 4 may apply to be selected to participate in the Simbot Challenge. Entrant Teams previously selected in Phase 1 do not need to re-apply. As in Phase 1, new Entrant Teams must submit their entry information and responses to the entry questions via the YouNoodle, Inc. (“YouNoodle”) application portal, following the process set forth in Phase 1 above. All application procedures, Entry Terms, and Additional Requirements set forth for Phase 1, above, apply in full for Entrant Teams applying during Phase 5. All Entry Applications must be complete when the Participant Application Period closes at 11:59 pm Pacific Time on May 23, 2022.

PHASE 6 “Second Sponsor Application Review Period”: From May 25, 2022, to June 3, 2022, all eligible Entry Applications will be reviewed by a panel of judges chosen by the Sponsor. Up to four Entrant Teams determined by Sponsor may be chosen to participate in the Challenge described below. In addition to the criteria considered during the Sponsor Review period in Phase 2, the judges may consider the Entrant Team’s performance in the Benchmark Challenge when selecting additional participating teams.

PHASE 7 “Second Participant Notification Period and On-boarding”: Leaders of additional Entrant Teams that have submitted Entry Applications and have been selected by Sponsor to participate in the Competition will be notified by email at the email address provided at time of Entry Application between June 6, 2022, and July 15, 2022. Entrant Teams acknowledge that some Entrants and Faculty Advisors may have participated in prior iterations of the Alexa Prize competition (“Prior Year Teams”). Each Entrant Team selected to participate during the Second Participant Notification Period will be eligible to receive a stipend award of $200,000 U.S. dollars (paid in any number of installments as determined by Sponsor in its sole discretion, subject to Entrant Team’s continued standing in the Simbot Challenge), which will be awarded to the Universities of the selected Entrant Teams in the form of restricted research grants. All restrictions on Stipends set forth above for Stipends awarded during Phase 3 will apply in full to Stipends provided to Entrant Teams in Phase 7.

SIMBOT BOOT CAMP All Entrant Teams will be invited to an Alexa Prize Simbot Boot Camp held in July 2022 at Sponsor’s headquarters in Seattle, Washington or alternative location as determined by Sponsor. Sponsor will provide for the cost of the Faculty Advisor and four members from each Entrant Teams’ airline tickets (non-refundable coach class booked through Sponsor at least 14 days in advance) from the city where their University is located to Seattle, Washington, and the provision of hotel rooms in Seattle, Washington, to permit members of each Entrant Team (up to 4 members as determined by Sponsor) and the Faculty Advisor to attend the Boot Camp. Travel expense subsidies may be subject to tax information reporting and withholding to the extent required by law. Attendance at the Boot Camp is not required and will not affect an Entrant Team’s opportunity to win. Sponsor may also choose to hold the summit virtually and in which case Entrant Teams will not receive any payment for the value of travel expenses.

PHASE 8 “Skills Development Period”: From July 25, 2022 through August 26, 2022, selected Entrant Teams will develop their SimBot. Prior Year Teams may utilize and incorporate any concepts, works, inventions, information, designs, programs, or software created by Prior Year Teams, provided that the Entrant Teams have obtained all of the rights, licenses, and permissions in writing from any person who may have helped create the SimBot or that are otherwise necessary for the Entrant Team to distribute the SimBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Any Entrant Team may incorporate concepts, works, inventions, information or designs described by any Prior Year Team in its published technical articles. Entrant Teams must submit their SimBot to Sponsor for certification no later than 11:59 pm Pacific Time on August 26, 2022.

PHASE 9 “Skill Certification Period”: From August 29, 2022 through September 12, 2022, Entrant Teams must revise their SimBots in response to feedback from Sponsor to ensure that their skills are certified prior to being made available to end users of the Alexa service. SimBots must pass certification in order to be eligible to participate in a closed beta program for employees of Sponsor (the “Beta Program”).

PHASE 10 “Internal Amazon Beta Period”: Beginning on September 12, 2022, SimBots that have passed certification will be made available via Sponsor’s Beta Program. Each SimBot’s Interaction Ratings (as defined below) collected through the Beta Program will be provided to the Entrant Team. Entrant Teams may continue to improve their SimBots throughout the Internal Amazon Beta Period. Sponsor may impose Availability Criteria, including but not limited to a minimum mean Interaction Rating, uptime requirements, and ability to filter offensive content, that a SimBot must meet in order to exit the Beta Program and be made available to Amazon customers through an Alexa Skill operated by Sponsor that allows users to interact with SimBots (the “Alexa Prize Skill”). Sponsor may require SimBots that have not met the Availability Criteria to remain in the Beta Program, and may set deadlines by which all SimBots must meet the Availability Criteria in order to continue participating in the Competition. Additionally, Sponsor may condition a SimBot’s inclusion in the Alexa Prize Skill on that SimBot continuing to meet the Availability Criteria.

PHASE 11 “Initial Feedback Period”: From October 11, 2022 through November 24, 2022, the SimBots that have passed certification and that have met all Availability Criteria will be made available to Alexa users through the Alexa Prize Skill, as described below. Each SimBot’s Interaction Ratings collected during the Initial Feedback Period will be provided to the Entrant Team. Entrant Teams may continue to improve their SimBots throughout the Initial Feedback Period.

The Alexa Prize Skill; Ratings. During the Internal Amazon Beta Period, Initial Feedback Period, the Quarterfinals Interaction Period, the Semifinals Interaction Period, and the Additional Feedback Period, Sponsor may allow Alexa users to invoke the Alexa Prize Skill using a particular invocation phrase. In response, Alexa may direct the user to an Entrant Team’s SimBot to interact with the user (without identifying to the user which Entrant Team’s SimBot has been selected). The SimBot will then engage the user to complete certain virtual tasks or challenges in a virtual environment. The user may converse with the SimBot until the user ends the interaction by saying “Stop” or otherwise indicating the end of the current interaction.

At the end of the interaction, users will be asked to rate the SimBot on a scale of 1 to 5 based on the user’s satisfaction with the assistance provided by the SimBot (the “Interaction Ratings”). Sponsor may determine in its sole discretion when and how frequently each SimBot is made available to users and the method by which users invoke the Alexa Prize Skill. All SimBots may not be selected to interact with users the same number of times. When calculating Interaction Ratings for any SimBot and for any purpose, Sponsor may elect to disregard Interaction Ratings from Alexa users for the purpose of selecting a finalist SimBot if (a) the number of Interaction Ratings for a SimBot from the applicable Alexa user exceeds a limit determined by Sponsor in its sole discretion (in which case Interaction Ratings will be counted up to such limit), (b) Sponsor determines in its sole discretion that any individual has submitted Interaction Ratings using more than one user account, (c) Sponsor determines in its sole discretion the Interaction Ratings may have been generated by script, macro, bot, or other automated means, or (d) Sponsor determines in its sole discretion that inclusion of an Interaction Rating would reduce the integrity of the Interaction Ratings. Any Interaction Ratings disregarded by Sponsor will be void. Entrant Teams are prohibited from rating their own or any other SimBot or from obtaining Interaction Ratings or user interactions by any fraudulent or inappropriate means, including, without limitation, paying for Interaction Ratings, agreeing to exchange Interaction Ratings with another person, offering prizes or other inducements to members of the public, using a script, macro, bot, or other automated means to generate user interactions or Interaction Ratings, or encouraging any other person or entity to engage in any of the foregoing, as determined by Sponsor in its sole discretion. Any attempt by an Entrant Team, any Entrant Team member or his or her family or friends, or any other individual to obtain Interaction Ratings or user interactions using any mechanism that violates these Official Rules, or any other kind of fraudulent or inappropriate mechanism, as determined by Sponsor in its sole discretion, may result in disqualification.

In addition to Interaction Ratings provided by users, each SimBot interaction will be evaluated on the basis of Goal Success Rate (i.e., did the SimBot correctly complete the intended task) and Cost Function Performance (i.e., how efficiently did the SimBot complete the intended task). The scoring rubric explaining how Cost Function Performance will be calculated will be shared with all Entrant Teams prior to the beginning of the Initial Feedback Phase. Entrant Teams’ SimBots will be ranked throughout the competition using an overall score comprised of a weighted average of Interaction Ratings, Goal Success Rate, and Cost Function Performance (“Overall Ranking”).

PHASE 12 “Semifinals Interaction Period”: Between November 26, 2022, and December 1, 2022, the Entrant Teams will be divided into two brackets by a random draw. Between December 1, 2022 and January 27, 2023, Alexa users will have the opportunity to interact with and rate eligible SimBots through the Alexa Prize Skill. Entrant Teams may continue to improve their SimBots throughout the Semifinals Interaction Period. Each SimBot’s Interaction Ratings collected during the Semifinals Interaction Period may be provided to that SimBot’s Entrant Team, as determined by Sponsor in its sole discretion. At the conclusion of the Semifinals Interaction Period, the three SimBots with the highest Overall Ranking (with ties broken by the Goal Success Rate of each SimBot) and one or more SimBots selected by Sponsor in its sole discretion based on Sponsor’s evaluation of their relevance, coherence, accuracy, interestingness, speed and scientific merit (the “Finalist SimBots”) will proceed to the Finals Interaction Period as described below.

Disclosure of Third-Party Funding. If any Entrant Team receives any third-party funding to facilitate its participation in this Competition, such funding must be disclosed to Sponsor no later than January 1, 2023, along with any requirements imposed on the Entrant Team in connection with the funding. Entrant Teams may not accept or use any third-party funding if acceptance or use of that funding, or any requirements imposed in connection with that funding, would conflict with these Official Rules.

PHASE 13 “Finals Interaction Period”: Between January 30, 2023 and March 27, 2023, Alexa users will have the opportunity to interact with and rate eligible Finalist SimBots through the Alexa Prize Skill. Entrant Teams may continue to improve their SimBots throughout the Finals Interaction Period. Each Finalist SimBot’s Interaction Ratings collected during the Finals Interaction Period may be provided to that Finalist SimBot’s Entrant Team, as determined by Sponsor in its sole discretion. The average of the Interaction Ratings collected for a SimBot during the Finals Interaction Period are the “Finals Interaction Rating Average.” At the conclusion of the Finals Interaction Period, the three Finalist SimBots with the highest Overall Ranking (with any ties broken by the Goal Success Rate of each SimBot) will be awarded prizes as described below.

Each Finalist Entrant Team agrees to maintain the SimBot so that it is available to Alexa customers for at least six months following the public announcement of the winner of the Competition. If any Finalist Entrant Team is found to be in non-compliance with these Official Rules or raises other issues of significant concern to Sponsor, the Entrant Team may be disqualified, and Sponsor shall have no further obligation to such Finalist Entrant Team. An alternate Finalist Entrant Team may be selected by Sponsor in its sole discretion, time permitting.

Technical Publication. By no later than March 1, 2023, all participating Entrant Teams must submit a technical article including (a) the technical approach for their SimBot, and (b) any comparative experiments performed by the Entrant Team and results of those experiments (a “Technical Article”). Entrant Team’s Technical Article must include sufficient detail to permit other researchers to replicate the work. However, Technical Articles may not include any Non-Public Materials, Interaction Data, or other confidential information of Sponsor or its affiliates. If a Technical Article does not provide sufficient detail to replicate the work, Sponsor may require the Entrant Team to provide Sponsor any additional information needed to replicate the work. Sponsor will publish the Technical Articles. Prior to the publication, Sponsor will not disclose Technical Articles to third parties. Entrant Teams may update their Technical Articles prior to the Finals Event.

Entrants may publish other technical articles describing their work (“Additional Articles”), but prior to submitting any such technical articles for publication, Entrant Teams must obtain Sponsor’s written approval. Additional Articles may not include any Non-Public Materials, Interaction Data, or other confidential information of Sponsor or its affiliates. Entrants must submit any Additional Articles to Sponsor for review and comment at least two weeks prior to the submission deadline and must make, prior to submission, any changes or deletions requested by Sponsor to protect confidential or other sensitive information.

Prizes:

2021 First-Place Prize (1): The winning Entrant Team will receive $500,000 U.S. dollars awarded in the form of checks divided equally among all Entrant Team members.

2021 Second-Place Prize (1): The Entrant Team that receives the second highest Composite Score will receive $100,000 U.S. dollars awarded in the form of checks divided equally among all Entrant Team members.

2021 Third-Place Prize (1): The Entrant Team that receives the third highest Composite Score will receive $50,000 U.S. dollars awarded in the form of checks divided equally among all Entrant Team members

Prize Conditions. Prizes are non-transferable except as directed by Sponsor. No prize substitutions allowed. Except where prohibited by law, all federal, state, provincial or other tax liabilities are the responsibility of the prize winners, the Sponsor will not be responsible for any tax deductions which may be necessary and Sponsor reserves the right to withhold taxes as required by law. Prize winners will be responsible for paying all costs and expenses related to the prize that are not specifically mentioned, including, but not limited to, taxes, withholdings, and any other expenses that might reasonably be incurred by the winner in receiving or using the prize. All prizes awarded will be subject to any taxes Sponsor is required by law to withhold as well as applicable sales, use, gross receipts, goods and service, or similar transaction based taxes. IF TAXES ARE APPLICABLE TO THE PRIZE(S), IT IS THE RESPONSIBILITY OF THE WINNER TO PAY TO THE APPROPRIATE AUTHORITIES. PAYMENTS TO COMPETITION WINNERS ARE SUBJECT TO THE EXPRESS REQUIREMENT THAT THE WINNER SUBMIT TO SPONSOR ALL DOCUMENTATION REQUESTED BY SPONSOR (INCLUDING FORMS W-9 OR W-8BEN AS REQUESTED BY SPONSOR) TO PERMIT COMPLIANCE WITH ALL APPLICABLE STATE, FEDERAL, LOCAL AND FOREIGN (INCLUDING PROVINCIAL) TAX REPORTING AND WITHHOLDING REQUIREMENTS. Prize winners are responsible for ensuring that the tax documentation submitted to Sponsor complies with all applicable tax laws and requirements. If a winner fails to provide the documentation or submits incomplete documentation, the prize may be forfeited and Sponsor may, in its sole discretion, select an alternate winner.

Sponsor will divide all awards that are payable to Entrant Teams evenly among all Entrant Team members and distribute accordingly. Designation as a prize winner is subject to Entrant’s proof of compliance with these Official Rules, maintaining compliance with these Official Rules and approval by the Sponsor. All details of prizes not specified herein shall be determined solely by Sponsor.

PRIVACY: Entrants and Faculty Advisors acknowledge and agree that Sponsor may collect, store, share and otherwise use personally identifiable information provided during the application process and the Competition, including, but not limited to, name, mailing address, phone number, and email address. All personally identifiable information collected is subject to and will be used in accordance with Sponsor’s Privacy Notice (www.amazon.com/privacy), Eval.ai’s Privacy Policy (https://eval.ai/privacy-policy), and YouNoodle’s Privacy Policy (www.younoodle.com/privacy), including for administering the Competition and verifying Entrants’ and Faculty Advisors’ identities, addresses and telephone numbers in the event an entry qualifies for a prize. YouNoodle’s servers are located in the United States. By participating in this Competition, Entrants and Faculty Advisors are authorizing the transfer of personal data to the United States for purposes of administering the Competition, conducting publicity about the Competition and such additional purposes consistent with Sponsor’s goals or the Competition goals. By entering the Competition, Entrants and Faculty Advisors consent to Sponsor’s and YouNoodle’s collection, and Sponsor’s use and disclosure of entrants’ personally identifiable information for these purposes. The data controller for information collected by Sponsor is Amazon.com Services LLC, 410 Terry Ave North, Seattle, Washington 98109, USA. By entering the Competition, each Entrant/Entrant Team represents and warrants that he or she has obtained all of the rights, licenses, and permissions in writing from any person who may have helped create the SimBot or that are otherwise necessary for the Entrant Team to distribute the SimBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Entrants MAY NOT submit SimBots created by any person other than themselves or their Entrant Team members. Decisions of the Sponsor are final and binding.

INTELLECTUAL PROPERTY: As between Sponsor and Entrant Teams, all SimBots created by Entrant Teams will remain the property of the respective Entrant Teams (excluding any Program Materials incorporated in the SimBot, which will remain property of Sponsor). However, Sponsor and its designees will have rights to the SimBots as described below. By submitting a SimBot in this Competition, each Entrant represents and warrants that he or she owns, or otherwise has the right to use and license, all of the intellectual property and other rights in and to the SimBot. Each Entrant hereby grants Sponsor and its affiliates a non-exclusive, perpetual, irrevocable, worldwide, and royalty-free license to make, have made, use, sell, offer for sale, import, export, license, exploit, promote, reproduce, make available, publicly display, publicly perform, create derivative works of, and otherwise exercise all intellectual property and other rights in and to any concepts, works, inventions, information, designs, programs, or software that Entrant or his or her Entrant Team develop or submit in connection with the Competition or the creation of the SimBot, including any of the foregoing included or described in any Technical Article or other materials provided to Sponsor. In addition, upon Sponsor’s request, all Entrant Teams must provide Sponsor all source code and algorithms developed in connection with the Competition. Each Entrant agrees that he or she will do or perform, or cause to be done and performed, all such further acts and things, and shall execute and deliver all such other agreements, certificates, instruments and documents as Sponsor may reasonably request in order to carry out the intent and accomplish the purposes of the foregoing license.

Except where prohibited, each prize winner further consents (and agrees to sign any additional documents required by Sponsor to formalize, effect or perfect such consent) to Competition Entities’ use of SimBots as specified herein and the use of any Entrant names, likeness, biographical information, and voice in advertising, publicity, trade, and other marketing and promotional materials (including video, audio, and print through all means of distribution) worldwide without compensation, notice or approval, and prize winner disclaims any ownership rights to the content of such materials.

WAIVER, RELEASE, AND LIMITATION OF LIABILITY:

EACH ENTRANT ACCEPTS THE CONDITIONS STATED IN THESE OFFICIAL RULES, AGREES TO BE BOUND BY THE DECISIONS OF THE SPONSOR, WARRANTS THAT HE OR SHE IS ELIGIBLE TO PARTICIPATE IN THIS COMPETITION, AND AGREES TO RELEASE, INDEMNIFY, AND HOLD HARMLESS COMPETITION ENTITIES AND THE PERSONNEL OF EACH FROM AND AGAINST ANY AND ALL CLAIMS, LOSSES, LIABILITY, AND DAMAGES OF ANY KIND (INCLUDING REASONABLE ATTORNEYS’ FEES AND EXPENSES) ASSERTED AGAINST ANY OF THEM, INCURRED OR SUSTAINED IN CONNECTION WITH OR RISING OUT OF ENTRANT’S PARTICIPATION IN THIS COMPETITION OR ANY TRAVEL OR ACTIVITY RELATED THERETO, USE OF ANY SIMBOT OR RIGHTS THEREIN, OR BREACH OF ANY AGREEMENT OR WARRANTY ASSOCIATED WITH THE COMPETITION, INCLUDING THESE OFFICIAL RULES. ANY ATTEMPT TO DELIBERATELY DAMAGE ANY WEBSITE OR UNDERMINE THE LEGITIMATE OPERATION OF THE COMPETITION IS A VIOLATION OF CRIMINAL AND CIVIL LAWS AND, SHOULD SUCH AN ATTEMPT BE MADE, THE COMPETITION ENTITIES AND EACH OF THEIR LICENSEES RESERVE THE RIGHT TO SEEK ANY AND ALL REMEDIES AVAILABLE FROM ANY SUCH PERSON(S) RESPONSIBLE FOR ANY SUCH ATTEMPT TO THE FULLEST EXTENT PERMITTED BY LAW.

Each Entrant hereby acknowledges and agrees that the relationship between themselves and the Competition Entities is not a confidential, fiduciary, or other special relationship, and that the Entrant’s decision to provide the entry to Sponsor for purposes of the Competition does not place the Competition Entities in a position that is any different from the position held by members of the general public with regard to elements of the entry, other than as set forth in these Official Rules. Each Entrant understands and acknowledges that the Competition Entities have wide access to SimBots, technology, designs, and other materials, and that new ideas are constantly being submitted to them or being developed by their own employees. Each Entrant also acknowledges that many ideas may be competitive with, similar to, or identical to the SimBot submission in theme, idea, format, or other respects. Each Entrant acknowledges and agrees that such Entrant will not be entitled to any compensation as a result of Competition Entities' use of any such similar or identical material that has or may come to Competition Entities, or any of them, from other sources. Entrants acknowledge that other Entrants/Entrant Teams may have created ideas and concepts contained in their SimBot design that may have familiarities or similarities to their SimBot design, and that they will not be entitled to any compensation or right to negotiate with the Competition Entities because of these familiarities or similarities.

Entrants further agree that the Competition Entities are not responsible for the following: (a) electronic transmissions, SimBots or entries or notifications that are lost, late, stolen, incomplete, damaged, garbled, destroyed, misdirected or not received by Sponsor or their agents for any reason; (b) any problems or technical malfunctions, errors, omissions, interruptions, deletions, defects, delays in operation or transmission, communication failures and/or human error that may occur in the transmission, shipping errors or delays, receipt or processing of entries or related materials; or for destruction of or unauthorized access to, or alteration of, entries or related material; (c) failed or unavailable hardware, network, software or telephone transmissions, damage to Entrants’ or any person’s computer and/or its contents related to or resulting from participation in this Competition; (d) causes that jeopardize the administration, security, fairness, integrity, or proper conduct of this Competition; (e) any entries submitted in a manner that is not expressly allowed under these Official Rules (all such entries will be disqualified); or (f) any printing errors in these Official Rules or in any advertisements or correspondence in connection with this Competition or the tabulation of Interaction Ratings or scores. Sponsor reserves the right, in its sole discretion, to cancel or suspend this Competition should virus, bugs, fraud, hacking, or other causes corrupt the administration, security, or proper play of the Competition, or in the event Sponsor does not receive a minimum of two qualified entries from separate eligible Entrant Teams. Sponsor further reserves the right, in its sole discretion, to cancel or suspend this Competition or to reschedule or reformat events, including without limitation the Alexa Prize summit or Finals Event, should Sponsor be prevented, in any manner whatsoever, from holding this Competition or any event due to any present or future law (whether or not valid); any act of God, earthquake, fire, flood, epidemic (including, without limitation, any pandemic), accident, explosion or casualty; any civil disturbance or armed conflict; or any other cause of any similar nature outside of Sponsor’s control. In all such cases, notice to this effect will be posted on the Competition Site and prizes to the extent awarded will be awarded as determined by Sponsor prior to cancellation. If, in Sponsor’s opinion, there is any suspected or actual evidence of electronic or non-electronic tampering with any portion of the Competition or if technical difficulties compromise the integrity of the Competition, the Sponsor reserves the right to void suspect entries and/or terminate the Competition and award prizes in its sole discretion. Sponsor reserves the right, in its sole discretion, to disqualify any individual found tampering with the entry process or entry materials or otherwise interfering with the proper administration of the Competition or violating these Official Rules.

DISPUTES: Except where prohibited, you agree that: (1) any and all disputes, claims and causes of action arising out of or connected with this Competition or any prize awarded shall be resolved individually, without resort to any form of class action; (2) any and all claims, judgments and awards shall be limited to actual out-of-pocket costs incurred, including costs associated with entering this Competition, but in no event attorneys’ fees; and (3) under no circumstances will you be permitted to obtain awards for, and you hereby waive all rights to claim, indirect, punitive, incidental and consequential damages and any other damages (other than for actual out-of-pocket expenses), and any and all rights to have damages multiplied or otherwise increased. All issues and questions concerning the construction, validity, interpretation and enforceability of these Official Rules, or the rights and obligations of the Entrant and Sponsor in connection with the Competition, shall be governed by, and construed in accordance with, the laws of the State of Washington without giving effect to any choice of law or conflict of law rules (whether of the State of Washington or any other jurisdiction), which would cause the application of the laws of any jurisdiction other than the State of Washington.

SPONSOR: Amazon.com Services LLC, 410 Terry Ave North, Seattle, Washington 98109, USA.

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US, CA, Santa Clara
Job summaryAmazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology.Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Natural Language Understanding (NLU), Dialog management, conversational AI and Machine Learning (ML).As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring primarily in Conversational AI / Dialog System Development areas: NLP, NLU, Dialog Management, NLG.This role can be based in NYC, Seattle or Palo Alto.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
US, NY, New York
Job summaryAmazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology.Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Natural Language Understanding (NLU), Dialog management, conversational AI and Machine Learning (ML).As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring primarily in Conversational AI / Dialog System Development areas: NLP, NLU, Dialog Management, NLG.This role can be based in NYC, Seattle or Palo Alto.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
US, CA, Santa Clara
Job summaryAWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on building automated ML solutions for planetary-scale sustainability and geospatial applications. Our team's mission is to develop ready-to-use and automated solutions that solve important sustainability and geospatial problems. We live in a time wherein geospatial data, such as climate, agricultural crop yield, weather, landcover, etc., has become ubiquitous. Cloud computing has made it easy to gather and process the data that describes the earth system and are generated by satellites, mobile devices, and IoT devices. Our vision is to bring the best ML/AI algorithms to solve practical environmental and sustainability-related R&D problems at scale. Building these solutions require a solid foundation in machine learning infrastructure and deep learning technologies. The team specializes in developing popular open source software libraries like AutoGluon, GluonCV, GluonNLP, DGL, Apache/MXNet (incubating). Our strategy is to bring the best of ML based automation to the geospatial and sustainability area.We are seeking an experienced Applied Scientist for the team. This is a role that combines science knowledge (around machine learning, computer vision, earth science), technical strength, and product focus. It will be your job to develop ML system and solutions and work closely with the engineering team to ship them to our customers. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. You are also expected to work closely with other applied scientists and demonstrate Amazon Leadership Principles (https://www.amazon.jobs/en/principles). Strong technical skills and experience with machine learning and computer vision are required. Experience working with earth science, mapping, and geospatial data is a plus. Our customers are extremely technical and the solutions we build for them are strongly coupled to technical feasibility.About the teamInclusive Team CultureAt AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.Interested in this role? Reach out to the recruiting team with questions or apply directly via amazon.jobs.
US, CA, Santa Clara
Job summaryAWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on building automated ML solutions for planetary-scale sustainability and geospatial applications. Our team's mission is to develop ready-to-use and automated solutions that solve important sustainability and geospatial problems. We live in a time wherein geospatial data, such as climate, agricultural crop yield, weather, landcover, etc., has become ubiquitous. Cloud computing has made it easy to gather and process the data that describes the earth system and are generated by satellites, mobile devices, and IoT devices. Our vision is to bring the best ML/AI algorithms to solve practical environmental and sustainability-related R&D problems at scale. Building these solutions require a solid foundation in machine learning infrastructure and deep learning technologies. The team specializes in developing popular open source software libraries like AutoGluon, GluonCV, GluonNLP, DGL, Apache/MXNet (incubating). Our strategy is to bring the best of ML based automation to the geospatial and sustainability area.We are seeking an experienced Applied Scientist for the team. This is a role that combines science knowledge (around machine learning, computer vision, earth science), technical strength, and product focus. It will be your job to develop ML system and solutions and work closely with the engineering team to ship them to our customers. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. You are also expected to work closely with other applied scientists and demonstrate Amazon Leadership Principles (https://www.amazon.jobs/en/principles). Strong technical skills and experience with machine learning and computer vision are required. Experience working with earth science, mapping, and geospatial data is a plus. Our customers are extremely technical and the solutions we build for them are strongly coupled to technical feasibility.About the teamInclusive Team CultureAt AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.Interested in this role? Reach out to the recruiting team with questions or apply directly via amazon.jobs.
US, WA, Seattle
Job summaryHow can we create a rich, data-driven shopping experience on Amazon? How do we build data models that helps us innovate different ways to enhance customer experience? How do we combine the world's greatest online shopping dataset with Amazon's computing power to create models that deeply understand our customers? Recommendations at Amazon is a way to help customers discover products. Our team's stated mission is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations". We strive to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline customers' shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day. Using Amazon’s large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.Key job responsibilitiesScaling state of the art techniques to Amazon-scaleWorking independently and collaborating with SDEs to deploy models to productionDeveloping long-term roadmaps for the team's scientific agendaDesigning experiments to measure business impact of the team's effortsMentoring scientists in the departmentContributing back to the machine learning science community
US, NY, New York
Job summaryAmazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop and enable them to take on more complex tasks in the future.A day in the lifeAbout the hiring groupJob responsibilities* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.* Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.* Report results in a scientifically rigorous way.* Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
US, WA, Seattle
Job summaryAre you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon, and subsequently make Amazon their default starting point for future shopping journeys. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand contents that customers trust, and furnish customers with these contents in a way that is precisely tailored to their individual needs at any stage of their shopping journey. Key job responsibilitiesWe are looking for an Applied Scientist to join our rapidly growing Seattle team. As an Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning. Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in shallow and deep learning ML models, particularly in NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skilset.Major responsibilities:Use statistical and machine learning techniques to create scalable and lasting systems.Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithmsDesign, develop and evaluate highly innovative models for NLP.Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.Research and implement novel machine learning and statistical approaches, including NLP and Computer VisionA day in the lifeIn this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. About the teamOur team puts a high value on your work and personal life happiness. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of you. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to establish your own harmony between your work and personal life.
US, WA, Seattle
Job summaryAre you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand content that customers trust, and furnish customers with the content in a way that meets their needs at any stage of their shopping journey. Key job responsibilitiesUse statistical and machine learning techniques to create scalable and lasting systems.Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithmsDesign, develop and evaluate highly innovative - Work closely with teams of scientists and software engineers to drive real-time model implementationsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.Research and implement novel machine learning and statistical approaches, including NLP and Computer VisionA day in the lifeIn this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.We put a high value on your work and personal life happiness. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of you. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to establish your own harmony between your work and personal life.
US, MA, Westborough
Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 6-month Co-Op to join AR full-time (40 hours/week) from January 2023 to June 2023. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesWe are seeking data scientist co-ops to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.
GB, London
Job summaryAmazon's F3 (Fresh, Food Fast) team in Europe is seeking a truly innovative and technically strong data scientist with a background in machine learning, and statistical modeling/analysis, as well as time-series forecasting. We are looking for a highly motivated, analytical and detail-oriented candidate to help build scalable prescriptive & predictive business analytics solutions that supports various aspects of Amazon Grocery business. You are a pragmatic generalist. You can equally contribute to each layers of a data solution – you work closely with product managers and stakeholders to define the inputs and the outputs; liaise with with business intelligence engineers to obtain relevant datasets and prototype predictive analytic models and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.Key job responsibilitiesTo be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy.Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projectsBuild models that predict changes / prescribe solutions and incorporate inputs from product, engineering, finance and marketing partnersApply data science techniques to automatically identify trends, patterns, and frictions related to a wide variety of operational topicsWork with BIEs and WW Data Engineering team to deploy models and experiments to productionIdentify and recommend opportunities to automate systems, tools, and processes.A day in the lifeIn a week, you will spend 20% of your available time working with the stakeholders on scoping or demo-ing a new feature for an existing solution or a completely new solution.As a Data Scientist, this time will be also spent advising on advanced experiment design & analysis to the business.20% will be spent on operational excellence tasks, that are planned in advance.50% of your time will be about building the solutions.10% is allocated for urgent non-planned work.Of course, the time for you to learn a new technology, attend or present at an internal analytics conference is baked into workload planning.About the teamThe team has both Data Science and Business Intelligence skillset, which allows to create solutions at the intersection of two disciplines and learn from each other.We interact with multiple stakeholder groups, including Vendor Managers, Amazon Vendor Services, Category Leaders, PMs, Operations - creating solutions that bring several groups of stakeholders together.