Terms and conditions: Amazon Physical Science Fellowship Competition

Official Rules

NO PURCHASE IS NECESSARY TO ENTER OR WIN. A PURCHASE OR PAYMENT OF ANY KIND WILL NOT INCREASE YOUR CHANCES OF WINNING.

PLEASE READ THESE OFFICIAL RULES CAREFULLY. BY ACCESSING OR PARTICIPATING IN THE COMPETITION, YOU (“Participant”, “you” “your”) AGREE TO BE BOUND BY THESE OFFICIAL RULES AND ALL TERMS INCORPORATED BY REFERENCE. IF YOU DO NOT AGREE TO THESE OFFICIAL RULES, YOU CANNOT PARTICIPATE IN THE COMPETITION.

ELIGIBILITY: The Amazon Physical Science Fellowship Competition (“Competition”) is open for participation by invitation only to natural persons who are legal residents of Australia, Austria, Belgium, Canada (excluding Quebec), Switzerland, China, Czech, The Netherlands, Denmark, Spain, Finland, France, United Kingdom, Greece, Ireland, Israel, Italy, Japan, South Korea, Germany, Poland, Singapore, Sweden and the fifty United States and the District of Columbia, who are at least 18 years of age at the time of entry or the age of majority in such person’s jurisdiction of residence, whichever is greater, who (i) hold a PhD in Physics or a related discipline, (ii) have a current, or confirmed pending, professorial affiliation with an academic institution with a high-ranking Physics Departments at universities in the referenced jurisdictions (provided that the total duration of such affiliation is not greater than 10 years), and (iii) are invited to participate. Amazon.com Services, LLC (“Sponsor”) and its parent, subsidiary and affiliate companies, employees, agents and suppliers, and the immediate family (spouse, parents, siblings and children) and household members of each such person are not eligible to participate, enter, or win any grant. In the event of a dispute as to the identity of a participant, the individual whom Sponsor invited to participate and whose name is identified in the participating QMarkets account (described below) will be deemed to be the Participant. Potential winners are subject to verification before any grant will be awarded. By participating in the Competition, Participants fully and unconditionally agree and accept these official rules (“Official Rules”) and Sponsor’s decisions, which are final and binding in all matters related to the Competition. Winning a grant is contingent upon fulfilling all requirements set forth herein. VOID WHEREVER PROHIBITED OR RESTRICTED BY LAW.

COMPETITION PERIOD:

This Competition will follow the approximate schedule outlined below, subject to adjustment as reasonably necessary:

Registration and Initial Submission Phase: May 29, 2022 to June 18, 2022

Debiasing Phase: June 26, 2022 to July 2, 2022

Curation Phase: July 3, 2022 to July 23, 2022

Judging Phase: July 24, 2022 to September 3, 2022

Interview Phase: September 4, 2022 to September 17, 2022 (Subject to change pending availability of the members of the Review Board)

HOW TO ENTER: The Competition will consist of several phases discussed below.

Pre-Competition Phase: Sponsor will send out invitations to participate in the Competition (“Invitation Email” or collectively, “Invitation Emails”). Creation of an account and use of the QMarkets platform is free of charge for Participants.

Registration and Initial Submission Phase: After potential Participants have received the Invitation Email, they must follow the link to register on Qmarkets and complete a profile by answering all of the questions in the registration form.

Participants must submit three answers to the following question – What scientific results since the year 2000 have had the most profound impact on what you think is possible? Participants must provide the following for each submission (each such submission and collectively, an “Initial Submission”):

  1. Title of Submission briefly stating the applicable scientific result;
  2. Category (Participant will select from provided options);
  3. Paragraph description of the scientific results understandable by an undergraduate in a technical field (limited to 2500 characters);
  4. Concept (Participant will be able to select multiple responses from provided options);
  5. URL or DOI to at least one but up to three publications on the applicable scientific result;
  6. Earliest date of the applicable scientific result; and
  7. Optional, the names of up to two principal investigators associated with the applicable scientific result.

Participants who submit at least three (3) Initial Submissions by June 18, 2022 will advance to the next stages of the Competition. Only the first three (3) Initial Submissions submitted by Participant will be eligible for judging during any of the subsequent phases. The Sponsor may combine Initial Submissions covering the similar subject matter and each Participant will receive full credit for the Initial Submission.
Debiasing Phase: Participant must vote on which scientific results described in the Initial Submission(s) made available during this phase to Participant has had a more profound impact/or has changed what you think is possible.

Curation Phase: Participant must submit commentaries (each a “Commentary” collectively “Commentaries”) on ten (10) of the Initial Submissions compiled by Sponsor and made available during this phase to Participants. Each Commentary must comply with the Materials Guidelines (defined below).

Participants who submit at least ten (10) Commentaries by July 23, 2022 will advance to the next stages of the Competition. The first ten (10) Commentary provided by a Participant will be considered their portfolio for judging purposes (“Commentary Portfolio”).

Judging Phase: Sponsor will begin the Judging Process which is broken down into two (2) stages:

  • Triage Stage: A panel of judges comprised of Sponsor’s personnel will review the Initial Submissions and Commentary Portfolios and will judge them by giving a score from 1-10 in each of the following categories:
    • Initial Submissions are clearly written and understandable at the general technical undergraduate level.
    • Initial Submissions efficiently and effectively describe a scientific result since the year 2000.
    • Initial Submissions are clearly unique and independent from Initial Submissions submitted by other Participants.
    • Initial Submissions are innovative and insightful with the potential to change the world.
    • Commentary Portfolio is clearly written and understandable at the general technical undergraduate level.
    • Commentary Portfolio efficiently and effectively describes the importance of the corresponding results.
    • Commentary Portfolio covers results from multiple different scientific disciplines
    • Commentary Portfolio covers results that are innovative and insightful with the potential to change the world.
    • Commentary Portfolio adds unique insight or perspectives that were not included in the results to which the Commentaries correspond.

Participants will also receive points for each time one of the scientific results identified in their Initial Submissions received a vote in the Debiasing Phase based upon the following equation: [(10) x (# of Votes for that Initial Submission)] / (Highest # of Votes given to any Initial Submission).

The ten (10) Commentary Portfolios with the highest scores will advance to next stage of the Judging Phase unless there are ties in which case up to fifteen (15) Commentary Portfolios with the highest scores will advance to next stage of the Judging Phase.

In case there are ties:

  1. If the ties lead to fewer than or equal to 15 Commentary Portfolios achieving qualifying scores all 15, or fewer as applicable, respective Participants will advance to the following stage.
  2. The Commentary Portfolios with the higher score in the category “Commentary Portfolios cover results that are innovative and insightful with the potential to change the world” will be deemed the higher scoring Commentary Portfolios among the tied Commentary Portfolios scores
  3. In case there are ties leading to more than 15 Commentary Portfolios achieving qualifying scores after 2., the remaining tied Commentary Portfolio(s) with the higher score in the category “Commentary Portfolios efficiently and effectively describe the importance of the corresponding results” will be deemed the higher scoring Commentary Portfolios among the tied Commentary Portfolios scores.
  4. In case there are ties leading to more than 15 Commentary Portfolios achieving qualifying scores after 3., Sponsor will select and apply successive skill-based judging criteria from the above list to the remaining tied Commentary Portfolios to determine the higher scoring Commentary Portfolios among the tied Commentary Portfolios until there are 15 or fewer Commentary Portfolios remaining. The 10-15 Commentary Portfolio(s) selected in this stage are referred to as the “Shortlist Portfolio.”
  • Shortlist Stage: A Review Board of up to ten (10) Sponsor designated individuals will each evaluate the Shortlist Portfolios. Review Board members will give each Shortlist Portfolio a score from 1-10 on each of the following criteria:
    • Initial Submissions are innovative and insightful with the potential to change the world
    • Commentary Portfolio covers results that are innovative and insightful with the potential to change the world
    • Commentary Portfolio adds unique insight or perspectives that were not included in the results to which the Commentary Portfolio corresponds
    • Commentary Portfolio offers evidence that the Participant can conceive of novel applications and disruptive technologies
    • Commentary Portfolio offers evidence that the Participant can perceive broad significance of specific results in applied research
    • Commentary Portfolio offers evidence that the curator can think practically and ambitiously-realistically in both an engineering and business sense
    • Commentary Portfolio is clear, informative, and succinct
    • Commentary Portfolio offers evidence that the Participant appears to have command over a broad technical area, as opposed to a very specialized field of expertise
    • Commentary Portfolio offers evidence that the Participant is aware of emerging technologies and some history of physical sciences-based innovation

In case of any ties in the Shortlist Stage, Sponsor will apply the same tie-breaker criteria identified in the Triage Stage to the tied Shortlist Portfolios except that only five (5) Shortlist Portfolios will be selected. The Participants with the five (5) top scoring Shortlist Portfolios will advance to the next phase (“Finalists”).

Interview Phase: The Finalists will complete a technical interview (the “Technical Interview”) with members of the Review Board. The Finalists who receive the highest scores from the Technical Interviews will be the potential winners of the Competition, subject to verification.

Each Technical Interview will include members of the Review Board where Finalists will be asked substantive questions about their Commentary Portfolio, their area of study, and general knowledge in the Physics field. Review Board members will evaluate Finalists by providing a score from 1-10 in the following categories:

  • Number of publications and frequency of science conference attendance.
  • Technical command of a relatively broad field.
  • Familiarity with (i) applications of physical sciences to the development of technologies and services, (ii) practical impacts of their technical field and (iii) potential applications that are the primary drivers of current research.
  • Research and other evidence demonstrate an aptitude for finding surprising solutions to tough problems and/or asking important questions.
  • Ability to communicate clearly and succinctly regarding the significance of technical ideas with a non-expert audience; able to adapt the register of their writing/speech for audiences of varying technical expertise.
  • Ability to connect basic scientific results with significant contribution to practical methods and technologies
  • Earnestly enthusiastic for the Fellow's role and ability of finding ways to turn scientific results into technologies with the ability to improve the world

In case there are ties:

  1. Finalist with the higher score in the preceding fourth bullet point category above will be deemed the higher scoring Finalist between or among the tied Finalists.
  2. The remaining tied Finalist (if any) with the higher score in the preceding third bullet point category above will be deemed the higher scoring Finalist between or among the tied Finalists.

WINNER DETERMINATION AND NOTIFICATION: On or about September 25, 2022, potential winners (the “Winners”) will be informed via email that they have been selected pending verification of their qualifications, to be completed no later than October 30, 2022.

Winners must complete the following documents: affidavit of eligibility, tax documentation, and, except where prohibited, a release of liability and a publicity release (collectively, “Winner Documentation”) to receive the Grant (or direct a charity donation if applicable).

GRANT: Up to three (3) Winners will receive Fifty Thousand US Dollars (US$50,000.00) per year for three (3) years ($150,000.00 total for each Winner). Approximate Retail Value (“ARV”) of each Grant: $150,000.00.

Grants may be subject to United States or other jurisdictions’ withholding taxes and/or to taxation in your country of residence. Any valuation of the Grant stated above is based on available information provided to Sponsor and the value of any Grant awarded to a Winner will be reported for tax purposes as required by law. Each winner must provide Sponsor with a valid taxpayer identification number or social security number (as applicable) before any grant will be awarded. Grants may be subject to 25% (or a different amount) federal tax withholding and additional applicable state withholdings depending on winner’s place of residence. Outside of the US, the Winner may be subject to a tax on the value of any grant awarded. The Winners are solely responsible for reporting and paying any and all applicable taxes. The Winners understand and agree that the winners may be responsible for taxes exceeding the amounts listed above, for reasons such as, without limitation, winner’s tax bracket. Winner should consult an accountant or tax professional to determine tax implications in accepting and using any Grant.

Grants may not be transferred, assigned, or substituted. Grants will not be redeemed or exchanged for cash, except where required by law. In no event will more than the stated number of Grants be awarded. No grant substitution or exchange will be allowed, except by the Sponsor, who reserves the right to substitute a grant for a prize of equal or greater value at any time and for any reason.

Winners who cannot accept the grant or direct a charity donation as described below for any reason (including, but not limited to, the terms of their employment and regulations and laws that apply based on their citizenship, location of residence, or location of employment) will be ineligible for receiving the Grant (or directing the charity donation). Italian residents are ineligible for receiving the Grant but are still eligible to receive the title of “Amazon Physical Science Fellow”.

In the case that a potential Fellow (i) is ineligible to receive the Grant, (ii) does not return the completed and executed Winner Documentation by October 30, 2022, or (iii) prefers not to receive the Grant, the fund will be donated to the Association for Women in Science (or if permitted under the applicable laws, regulations and policies, to a non-profit charity of the potential Fellow’s choice from those listed on guidestar.org).

In the event a Grant is forfeited for any reason, including for non-compliance with these Official Rules, Sponsor may disqualify such Finalist and award the Grant to the next highest scoring Finalist.

SUBMISSION AND PORTFOLIO REQUIREMENTS: Participants agree, represent and warrant that all materials, including without limitation Initial Submissions and Commentary Portfolios and parts thereof (“Materials”), submitted to Sponsor at any point during the Competition meet the following requirements (“Material Guidelines”):

  • Materials must be in text format and in English language.
  • Materials must not include or disclose any trade secret or confidential information.
  • Materials must not contain unsafe behavior or situations, profanity, nudity, pornographic images or explicit sexual themes, graphic violence, defamatory or libelous statements, false or misleading advertising, or any other material considered illegal or inappropriate. Materials containing any such aspects and/or that are in violation of a law or otherwise deemed by Sponsor, in its sole discretion, to be prejudicial to Sponsor or any other person or party affiliated with the promotion and administration of this Competition or inappropriate in any way, may be disqualified.
  • Initial Submissions and Commentary Portfolios must be the original work of the Participant (except for public domain material that is clearly identified as such in the Initial Submission or Commentary Portfolio) and must be under no restriction, contractual or otherwise, that will prevent Sponsor’s use of the Initial Submission or Commentary Portfolio and each and every aspect of the Initial Submission or Commentary Portfolio must be free of any and all liens, encumbrances, and claims of third parties.
  • Materials must not infringe on any copyrights, patents, confidential information, trade secrets, trademarks, or proprietary, industrial, or other rights belonging to any person or entity, or violate any person’s rights of privacy or publicity or violate any law, rule, statute, or order of any jurisdiction.
  • Initial Submissions and Commentary Portfolios must be in compliance with Participant’s employer’s policies.

Sponsor may in its sole discretion disqualify any Participant that is responsible for submitting any Material that Sponsor determines violates the Materials Guidelines or the Official Rules. Sponsor may also, in its sole discretion, disqualify any Participant who has engaged or engages in behavior that is disparaging or derogatory of Sponsor, members of the Review Board or any other person or party affiliated with the promotion and administration of this Competition, or of any other Participant. Sponsor may also disqualify any Participant who violates any law, rule, statute, or order of any jurisdiction in connection with the Competition, or whose participation in the Competition results in Sponsor’s, or puts Sponsor at risk of, violation of any law, rule, statute, or order of any jurisdiction. Sponsor may also disqualify any potential or confirmed winner (a) who has engaged or engages in behavior that: (i) is illegal; (ii) (as determined by Sponsor in its sole and absolute discretion) is inappropriate, threatening, illegal or that is intended to annoy, abuse, threaten, harass, victimize, degrade, or intimidate any other individual or group of individuals on the basis of religion, race, ethnicity, sexual orientation, gender, age, or disability; or (b) in the reasonable opinion of Sponsor expose Sponsor to disrepute, contempt, scandal or ridicule, or shock, insult or offend the public; and in each case Sponsor reserves the right to not award the potential winner a Grant, or to withdraw or terminate any Grant already awarded. Each Participant further agrees to indemnify and hold harmless the Sponsor and each of their respective employees, officers, directors, and agents from and against any claims, lawsuits, liabilities, and expenses (including attorney’s fees) arising out of the use of the Materials submitted in the Competition and/or their participation in the Competition By participating in the Competition, each Participant further agrees at all times to be in compliance with all relevant anti-bribery and anti-corruption laws, and Participant’s employers’ internal anti-bribery, anti-corruption, gifts and other relevant policies. Participant is solely responsible for compliance with any applicable laws, rules and regulations, contractual limitations and/or school or company policies, if any, regarding Participant’s participation in the Competitions, Submissions, and acceptance and use of any Grant.

INTELLECTUAL PROPERTY: Participant hereby grants to Sponsor and its affiliates, and each of their respective licensees, successors and assigns (the “Sponsor Parties”) a nonexclusive, perpetual, irrevocable, freely transferable and sublicensable, royalty-free right and license to use, promote, transmit, reproduce, copy, modify, publicly distribute, publicly display and prepare derivative works based on the Participant’s submitted Materials, in whole or in part, including all copyrights and other intellectual property rights therein, throughout the universe for all or any purposes whatsoever, including without limitation for the purpose of advertising, publicity, promotion, and/or other marketing for Sponsor, its products or services, and/or the Participant’s Materials, in any and all media or form of distribution now known or hereafter developed.

PUBLICITY: By participating in the Competition, participants consent to the use of their names, biographical information, Initial Submissions, images and/or likenesses in any manner and in any medium for any purpose in connection with the Competition, including worldwide, without additional compensation, except where prohibited by law.

PRIVACY: Information submitted by you is subject to Sponsor’s privacy notice. Whenever we transfer personal information to countries outside of the European Economic Area or the UK, we ensure that the information is transferred in accordance with this privacy notice and as permitted by the applicable laws on data protection. We rely on European Commission adequacy decisions or use contracts with standard safeguards published by the European Commission and similar measures under UK laws for such transfers. In addition, Sponsor will share your personal information with third parties that have a need to know, such as the Review Board, and by participating, you agree to the sharing of your information with the Review Board.

If you have any concerns about the authenticity of this e-mail or to find out more about Amazon's competition program, please visit the Amazon Customer Service help page

ERRORS AND UNAUTHORIZED ACTIVITIES: In the event that the operation, security, or administration of the Competition is impaired in any way for any reason, including without limitation, fraud, virus or other technical problem, or any other reason beyond the control of Sponsor, Sponsor may, in its sole discretion, either: (a) suspend the Competition; or (b) cancel or terminate the Competition. Sponsor reserves the right to modify grant award procedures. Any attempt by any person to undermine the legitimate operation of the Competition may be a violation of criminal and civil law, and should such an attempt be made, Sponsor reserve the right to seek damages from any such person to the fullest extent permitted by law. Sponsor’s failure to enforce any provision of these Official Rules shall not constitute a waiver of that provision. 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, 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

RELEASE: Subject to any applicable laws, by participating in the Competition, you agree to release Sponsor, promotional agencies, franchisees, and each of their respective parent companies, affiliates, subsidiaries, successors, assigns, agents, representatives, officers, directors, shareholders, and employees (collectively, “Released Parties”), from and against any and all liability for any claims, costs, injuries, losses or damages of any kind arising in connection with the Competition to the extent possible under applicable law. You agree that in any cause of action, the Released Parties’ liability shall, to the extent permitted by applicable law, be limited to any cost of entering and participating in the Competition and in no event shall the Released Parties be liable for attorneys’ fees or other legal costs.

You acknowledge that the Released Parties have neither made nor are in any manner responsible or liable, to the extent permitted by law, for any warranty, representation or guarantee, expressed or implied, in fact or in law, relative to a grant.

SOME JURISDICTIONS DO NOT ALLOW THE LIMITATIONS OR EXCLUSION OF LIABILITY FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES, SO THE ABOVE MAY NOT APPLY TO YOU.

Each Participant hereby acknowledges and agrees that the relationship between themselves and the Sponsor is not a confidential, fiduciary, or other special relationship, and that the Participant’s decision to provide the Materials to Sponsor for purposes of the Competition does not place the Sponsor in a position that is any different from the position held by members of the general public with regard to elements of the Materials, other than as set forth in these Official Rules. Each Participant understands and acknowledges that the Sponsor has wide access to Materials, technology, designs, and other materials, and that new ideas are constantly being submitted to them or being developed by their own employees. Each Participant also acknowledges that many ideas may be competitive with, similar to, or identical to the Materials in theme, idea, format, or other respects. Each Participant acknowledges and agrees that such Participant will not be entitled to any compensation as a result of Sponsor’s use of any such similar or identical material that has or may come to Sponsor, or any of them, from other sources. Participants acknowledge that other Participants may have created ideas and concepts contained in their Material design that may have familiarities or similarities to their Material design, and that they will not be entitled to any compensation or right to negotiate with the Sponsors because of these familiarities or similarities. Participants also acknowledge that the Sponsors will not restrict work assignments or representatives who have had access to your Materials. By entering this Competition, Participants agree that use of information in Sponsor’s representatives’ unaided memories in the development or deployment of Sponsor’s products or services does not create liability for Sponsor under these Official Rules or copyright or trade secret law.

INTERPRETATION: These Official Rules will be interpreted according to its plain meaning without presuming that it should favor either party. Unless stated or context requires otherwise: (i) lists of examples following “e.g.”, “including”, “for example”, or the like are interpreted to include “without limitation,” unless qualified by words such as “only” or “solely”; (ii) except as otherwise specified, all monetary amounts are expressed and, if applicable, payable, in U.S. dollars; (iii) URLs are understood to also refer to successors, localizations, and information or resources linked from within websites at the specified URLs; (iv) a writing is signed; and (v) a party’s choices or determinations under these Official Rules are in its sole discretion. The section headings of these Official Rules are for convenience only and have no interpretive value.

ENTIRE AGREEMENT: These Official Rules are the parties’ entire agreement regarding the subject matter hereof and merges and supersedes all related agreements, oral understandings, representations, prior discussions, proposals, and letters of intent with respect to the subject matter of these Official Rules. Only authorized officers of Amazon may enter into agreements on its behalf and no other Personnel may bind Amazon. In particular, no shrink-wrap, click-wrap, click-through, click-accept, or other online terms or polices (“Supplier Additional Terms”) provided with any Products or Services hereunder shall be binding on Amazon, even if use of such Products or Services requires an affirmative “acceptance” of those Supplier Additional Terms before access or use is permitted. All such Supplier Additional Terms shall be of no force or effect and shall be deemed rejected by Amazon in their entirety. NEITHER PARTY WILL BE BOUND BY, AND EACH SPECIFICALLY OBJECTS TO, ANY PROVISION THAT IS DIFFERENT FROM OR IN ADDITION TO THESE OFFICIAL RULES (WHETHER PROFFERED VERBALLY OR IN ANY QUOTATION, INVOICE, SHIPPING DOCUMENT, ONLINE TERMS AND CONDITIONS EXCEPT FOR THOSE EXPRESSLY REFERENCED IN THIS AGREEMENT, ACCEPTANCE, CONFIRMATION, CORRESPONDENCE, PROPOSAL, OR OTHERWISE), UNLESS SUCH PROVISION IS SPECIFICALLY AGREED TO IN A WRITING SIGNED BY BOTH PARTIES.

SEVERABILITY: If a court finds part of these rules illegal, the rest will continue in force. Each of the paragraphs of these rules operates separately. If any court or relevant authority decides that any of them are unlawful, the remaining paragraphs will remain in full force in effect.

DISPUTES: To the extent permitted by law, this Competition is governed by the laws of the United States and the State of Washington, USA. As a condition of participating in this Competition, participants agree that any and all disputes which cannot be resolved between the parties, and causes of action arising out of or in connection with this Competition, shall be resolved individually, without resort to any form of class action, exclusively before a court located in King County, Washington, USA having jurisdiction. Further, in any such dispute, under no circumstances will participants be permitted to obtain awards for, and hereby waive all rights to claim, punitive, incidental or consequential damages, including attorneys' fees, other than participant’s actual out-of-pocket expenses (e.g. costs associated with entering), and participant further waives all rights to have damages multiplied or increased. Participants agree that the decisions of Sponsor and the judges related to the Competition are final.

WINNER’S LIST: To obtain a list of the names of winners, email your request to, up to sixty (60) days after the close of the Competition, to b-wyker@amazon.com with the subject line “Amazon Physical Science Fellowship Competition WINNERS LIST”.

SURVIVAL: Terms related to termination rights, indemnification rights, limitations of liability, damages, confidentiality, licenses that expressly survive expiration or termination and perpetual licenses will survive the termination or expiration of this Agreement.

Related content

US, MA, North Reading
We are looking for experienced scientists and engineers to explore new ideas, invent new approaches, and develop new solutions in the areas of Controls, Dynamic modeling and System identification. Are 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 that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. 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. Key job responsibilities Applied Scientists take on big unanswered questions and guide development team to state-of-the-art solutions. We want to hear from you if you have deep industry experience in the Mechatronics domain and : * the ability to think big and conceive of new ideas and novel solutions; * the insight to correctly identify those worth exploring; * the hands-on skills to quickly develop proofs-of-concept; * the rigor to conduct careful experimental evaluations; * the discipline to fast-fail when data refutes theory; * and the fortitude to continue exploring until your solution is found We are open to hiring candidates to work out of one of the following locations: North Reading, MA, USA | Westborough, MA, USA
GB, London
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python or R is necessary, and experience with SQL and UNIX would be a plus. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. We are open to hiring candidates to work out of one of the following locations: London, GBR
IN, KA, Bengaluru
Job Description ATE (Analytics, Technology and Engineering) is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in operations for the benefit of our customers. Our team is responsible for creating core analytics, science capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes.. You will work with professional software development managers, data engineers, data scientists, applied scientists, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. We are on the lookout for an enthusiastic and highly analytical individual to be a part of our journey. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon’s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools. Major responsibilities include: · In this role, you will be responsible for developing and implementing innovative, scalable models and tools aimed at tackling novel challenges within Amazon’s global fulfillment network. Collaborating with fellow scientists from various teams, you will work on integrated solutions to enhance fulfillment speed, reduce costs. Your in-depth comprehension of business challenges will enable you to provide scientific analyses that underpin critical business decisions, utilizing a diverse range of methodologies. You’ll have the opportunity to design scientific tool platforms, deploy models, create efficient data pipelines, and streamline existing processes. Join us in shaping the future of Amazon’s global retail business by optimizing delivery speed at scale and making a lasting impact on the world of e-commerce. If you’re passionate about solving complex problems and driving innovation, we encourage you to apply. About the team This team is responsible for applying science based algo and techniques to solve the problems in operation and supply chain. Some of these problems include, volume forecasting, capacity planning, fraud detection, scenario simulation and using LLM/GenAI for process efficiency We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND
IL, Tel Aviv
Are you passionate about pushing the boundaries of computer vision, generative AI, deep learning, and machine learning? Ready to tackle challenges in document understanding at scale? We’re looking for innovative minds to join our world-class team at AWS, where you’ll collaborate with leading researchers, academics, and engineers on Amazon Textract. Why AWS? Be part of the leading cloud service provider powering innovation and positive impact. Work on real-world problems alongside tech and business giants. Access to unlimited data and computational resources. Collaborate with world-class researchers and developers. Deploy solutions at AWS scale and publish your work at top conferences. Focus Areas: - LLMs, document understanding, scene text recognition. - Visual question answering, NLP+vision, layout understanding. Locations: Tel Aviv and Haifa Think you’re a fit? Dive into the world of AWS Computer Vision and help us innovate at the forefront of technology. Key job responsibilities - Design cutting-edge neural network architectures. - Create document understanding solutions for complex scenarios and large visual datasets. - Set benchmarks and success criteria for model performance. - Collaborate across AWS and Amazon to bring scientific breakthroughs to our customers. - Add your unique creativity to our multidisciplinary team. - Mentor junior scientists and interns/PhD students. We are open to hiring candidates to work out of one of the following locations: Haifa, ISR | Tel Aviv, ISR
LU, Luxembourg
Have you ever wished to build high standard Operations Research and Machine Learning algorithms to optimize one of the most complex logistics network? Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of algorithms & processes are running behind the scenes to power the whole operation? If so, this role is for you. The team: Global transportation services, Research and applied science - Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. - Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. - GTS RAS is one of those Global transportation scientific team. We are obsessed by delivering state of the art OR and ML tools to support the rethinking of our advanced end-to-end supply chain. Our overall mission is simple: we want to implement the best logistics network, so Amazon can be the place where our customers can be delivered the next-day. The role: Applied scientist, speed and long term network design The person in this role will have end-to-end ownership on augmenting RAS Operation Research and Machine Learning modeling tools. They will help understand where are the constraints in our transportation network, and how we can remove them to make faster deliveries at a lower cost. You will be responsible for designing and implementing state-of-the-art algorithmic in transportation planning and network design, to expand the scope of our Operations Research and Machine Learning tools, to reflect the constantly evolving constraints in our network. You will enable the creation of a product that drives ever-greater automation, scalability and optimization of every aspect of transportation, planning the best network and modeling the constraints that prevent us from offering more speed to our customer, to maximize the utilization of the associated resources. The impact of your work will be in the Amazon EU global network. The product you will build will span across multiple organizations that play a role in Amazon’s operations and transportation and the shopping experience we deliver to customer. Those stakeholders include fulfilment operations and transportation teams; scientists and developers, and product managers. You will understand those teams constraints, to include them in your product; you will discuss with technical teams across the organization to understand the existing tools and assess the opportunity to integrate them in your product.You will engage with fellow scientists across the globe, to discuss the solutions they have implemented and share your peculiar expertise with them. This is a critical role and will require an aptitude for independent initiative and the ability to drive innovation in transportation planning and network design. Successful candidates should be able to design and implement high quality algorithm solutions, using state-of-the art Operations Research and Machine Learning techniques. Key job responsibilities - Engage with stakeholders to understand what prevents them to build a better transportation network for Amazon - Review literature to identify similar problems, or new solving techniques - Build the mathematical model representing your problem - Implement light version of the model, to gather early feed-back from your stakeholders and fellow scientists - Implement the final product, leveraging the highest development standards - Share your work in internal and external conferences - Train on the newest techniques available in your field, to ensure the team stays at the highest bar About the team GTS Research and Applied Science is a team of scientists and engineers whom mission is to build the best decision support tools for strategic decisions. We model and optimize Amazon end-to-end operations. The team is composed of enthusiastic members, that love to discuss any scientific problem, foster new ideas and think out of the box. We are eager to support each others and share our unique knowledge to our colleagues. We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX
US, CA, Santa Clara
Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. 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. 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. 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. 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. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA | Santa Clara, CA, USA | Seattle, WA, USA
DE, BE, Berlin
Are you excited about developing state-of-the-art computer vision models that revolutionize Amazon’s Fulfillment network? Are you looking for opportunities to apply AI on real-world problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience — at Amazon scale. To this end, we are looking for an Applied Scientist who will build and deploy models that make smarter decisions on a wide array of multi-modal signals. Together, we will be pushing beyond the state of the art in optimizing one of the most complex systems in the world: Amazon's Fulfillment Network. Key job responsibilities In this role, you will build computer vision and multi-modal deep learning models that understand the state of products and packages flowing through Amazon’s fulfillment network. You will build models that solve challenging problems like product identification and damage detection on Amazon's entire retail catalog (billions of different items, thousands of new items every day). You will primarily work with very large real-world vision datasets, as well as a diverse set of multi-modal datasets, including natural language and structured data. You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. A day in the life AFT AI delivers the AI solutions that empower Amazon’s fulfillment network to make smarter decisions. You will work on an interdisciplinary team of scientists and engineers with deep expertise in developing cutting-edge AI solutions at scale. You will work with images, videos, natural language, and sequences of events from existing or new hardware. You will adapt state-of-the-art machine learning and computer vision techniques to develop solutions for business problems in the Amazon Fulfillment Network. About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. AFT AI is spread across multiple locations in NA (Bellevue WA and Nashville, TN) and Europe (Berlin, Germany). We are hiring candidates to work out of the Berlin location. Publicly available articles showcasing some of our work: - Damage Detection: https://www.amazon.science/latest-news/the-surprisingly-subtle-challenge-of-automating-damage-detection - Product ID: https://www.amazon.science/latest-news/how-amazon-robotics-is-working-on-new-ways-to-eliminate-the-need-for-barcodes We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU
US, WA, Seattle
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is seeking an experienced Research Scientist in the Flight Sciences High-Fidelity Methods (HFM) team within Flight Sciences, you will develop and verify aerodynamics models used for engineering analyses and vehicle simulation. These models are the backbone of every flight simulation performed within Prime Air and are a critical element in the aircraft design, verification and certification process. These models are used to predict many attributes of the vehicle performance including range, maneuverability, tracking error, and aircraft stability. They are a key input to design decisions, vehicle component sizing and flight software algorithm development. The accuracy and reliability of these flight model are critical to the success of Prime Air. For this role we are looking for a scientist to develop surrogate or machine learning models to represent the complex aerodynamic behavior of our drones. This scientist will develop techniques to validate these models using flight testing, quantify the model uncertainty, and assess the impact of this uncertainty on downstream engineering analyses. Key job responsibilities A Research Scientist in this role is responsible for owning the development, deployment, verification, and maintenance of models from end-to-end. This includes the initial gathering of the downstream customer needs, identifying the most suitable modelling approach, coordinating the generation of input data, training models, developing and maintaining software interfaces, and verifying the model accuracy. A Research Scientist in this role is responsible for determining the most suitable modeling approach for a given physical phenomena. They need to possess knowledge of various machine learning techniques, and their respective advantages and limitations. They will need to have a detailed understanding of the types of physics to be modelled including vehicle aerodynamics, multibody dynamics, and atmosphere physics. This role is responsible for designing experiments for generating data used to train and verify surrogate models. They need to have a basic understanding of the methods used to generate high-fidelity aerodynamics predictions including CFD, wind tunnel testing, and flight testing. They will be responsible for validating the models by leveraging uncertainty quantification, system identification, and statical analyses. Export Control License This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. A day in the life A Research Scientist in the High-Fidelity Methods (HFM) team will have the opportunity to work on a wide variety of tasks. The ideal candidate should be adaptable and thrive in an everchanging environment. Depending on the phase of model or vehicle development, a typical day might consist of reading research papers on machine learning techniques, developing test plans for wind tunnel testing, writing code to train and verify models, reviewing flight test results, or writing documentation. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, WA, Seattle
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. As a Applied Scientist at the intersection of machine learning and the life sciences, you will participate in developing exciting products for customers. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with others teams. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, WA, Bellevue
As a Principal Research Scientist in the Amazon Artificial General Intelligence (AGI) Data Services organization, you will be responsible for sourcing and quality of massive datasets powering Amazon's AI. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will be responsible for developing and implementing cutting-edge algorithms and techniques to extract valuable insights from large-scale data sources. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences. Key job responsibilities - Responsible for sourcing and quality of massive datasets powering Amazon's AI. - Collaborate with cross-functional teams to ensure that Amazon’s AI models are aligned with human preferences. - Develop and implement strategies to improve the efficiency and effectiveness of programs delivering massive datasets. - Identify and prioritize research opportunities that have the potential to significantly impact our AI systems. - Communicate research findings and progress to senior leadership and stakeholders. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, USA