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Terms and conditions: Amazon Physical Science Fellowship Competition

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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.

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US, VA, Herndon
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization. As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision. You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you’re told a model can make assumptions, you actively try to break those assumptions. You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code. You do whatever it takes to add value. You don’t care whether you’re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability. You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team. You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models. You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation. Key job responsibilities - Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure. - Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear. - Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts. - Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks. - Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. - Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. About the team Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Why AWS* Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. *Work/Life Balance* We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. *Inclusive Team Culture* Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness. *Mentorship and Career Growth* We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Applied Scientist, FAR (Frontier AI & Robotics)
US, CA, San Francisco
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, science understanding, locomotion, manipulation, sim2real transfer, multi-modal foundation models and multi-task robot learning, designing novel frameworks that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale. In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities - Drive independent research initiatives across the robotics stack, including robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization - Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish - Lead full-stack robotics projects from conceptualization through deployment, taking a system-level approach that integrates hardware considerations with algorithmic development, ensuring robust performance in production environments - Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack, optimizing and scaling models for real-world applications - Contribute to the team's technical strategy and help shape our approach to next-generation robotics challenges A day in the life - Design and implement novel foundation model architectures and innovative systems and algorithms, leveraging our extensive infrastructure to prototype and evaluate at scale - Collaborate with our world-class research team to solve complex technical challenges - Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems - Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists - Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas - Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications About the team At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Research Scientist, Special Projects
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 next level. 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. As a Senior Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual 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 intersection of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers. 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. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Principal Data Scientist, WWPS ProServe
US, VA, Arlington
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. The Amazon Web Services Professional Services (ProServe) team seeks an experienced Principal Data Scientist to join our ProServe Shared Delivery Team (SDT). In this role, you will serve as a technical leader and strategic advisor to AWS enterprise customers, partners, and internal AWS teams on transformative AI/ML projects. You will leverage your deep technical expertise to architect and implement innovative machine learning and generative AI solutions that drive significant business outcomes. As a Principal Data Scientist, you will lead complex, high-impact AI/ML initiatives across multiple customer engagements. You will collaborate with Director and C-level executives to translate business challenges into technical solutions. You will drive innovation through thought leadership, establish technical standards, and develop reusable solution frameworks that accelerate customer adoption of AWS AI/ML services. Your work will directly influence the strategic direction of AWS Professional Services AI/ML offerings and delivery approaches. Your extensive experience in designing and implementing sophisticated AI/ML solutions will enable you to tackle the most challenging customer problems. You will provide technical mentorship to other data scientists, establish best practices, and represent AWS as a subject matter expert in customer-facing engagements. You will build trusted advisor relationships with customers and partners, helping them achieve their business outcomes through innovative applications of AWS AI/ML services. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Architecting and implementing complex, enterprise-scale AI/ML solutions that solve critical customer business challenges Providing technical leadership across multiple customer engagements, establishing best practices and driving innovation Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to design and deploy AI/ML solutions Developing reusable solution frameworks, reference architectures, and technical assets that accelerate customer adoption of AWS AI/ML services Representing AWS as a subject matter expert in customer-facing engagements, including executive briefings and technical workshops Identifying and driving new business opportunities through technical innovation and thought leadership Mentoring junior data scientists and contributing to the growth of AI/ML capabilities within AWS Professional Services
Applied Scientist Gen AI - Amazon Advertising, CreativeX
US, WA, Seattle
Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related. As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the development and use of multi-modal Generative AI and can use state-of-the-art generative music and audio, computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring SOTA research to raise the bar within the team. As an Applied Scientist on this team, you will: - Drive the invention and development of novel multi-modal agentic architectures and models for the use of Generative AI methods in advertising. - Work closely and integrate end-to-end proof-of-concept Machine Learning projects that have a high degree of ambiguity, scale and complexity. - Build interface-oriented systems that use Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Curate relevant multi-modal datasets. - Perform hands-on analysis and modeling of experiments with human-in-the-loop that eg increase traffic monetization and merchandise sales, without compromising the shopper experience. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Mentor and help recruit Applied Scientists to the team. - Present results and explain methods to senior leadership. - Willingness to publish research at internal and external top scientific venues. - Write and pursue IP submissions. Key job responsibilities This role is focused on developing new multi-modal Generative AI methods to augment generative imagery and videos. You will develop new multi-modal paradigms, models, datasets and agentic architectures that will be at the core of advertising-facing tools that we are launching. You may also work on development of ML and GenAI models suitable for advertising. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers, UX designers and engineers who will partner with you to productize your work. For reference see our products: Enhanced Video Generator, Creative Agent and Creative Studio. A day in the life On a day-to-day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership. About the team The team is a dynamic team of applied scientists, UX researchers, engineers and product leaders. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads. We are open to hiring candidates to work out of one of the following locations: UK (London), USA (Seattle).
Applied Scientist II, Amazon Fulfillment Technology (AFT) Science
US, WA, Bellevue
The Amazon Fulfillment Technologies (AFT) Science team is seeking an exceptional Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world: Amazon's Fulfillment Network. At AFT Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We tackle a wide range of challenges throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. Our mission is to develop innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run optimally and continuously (from every few minutes to every few hours) across our large-scale network. Key job responsibilities As an Applied Scientist, you will collaborate with scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions that directly impact process efficiency and associate experience in the fulfillment network. Your key responsibilities include: - Develop deep understanding and domain knowledge of operational processes, system architecture, and business requirements - Dive deep into data and code to identify opportunities for continuous improvement and disruptive new approaches - Design and develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and emerging challenges - Create prototypes and simulations for agile experimentation of proposed solutions - Advocate for technical solutions with business stakeholders, engineering teams, and senior leadership - Partner with software engineers to integrate prototypes into production systems - Design and execute experiments to test new or incremental solutions launched in production - Build and monitor metrics to track solution performance and business impact About the team Amazon Fulfillment Technology (AFT) designs, develops, and operates end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FCs). We harmonize the physical and virtual worlds so Amazon customers can get what they want, when they want it. The AFT Science team brings expertise in operations research, optimization, statistics, machine learning, and GenAI/LLM, combined with deep domain knowledge of operational processes within FCs and their unique challenges. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment, which includes both developing novel solutions and improving existing approaches. Our production systems rely on a diverse set of technologies, and our teams invest in multiple specialties as the needs of each focus area evolve.
Senior Manager, Applied Science, Network Planning Solutions
US, WA, Seattle
Have you ever wondered what it takes to transform millions of manual network planning decisions into AI-powered precision? Network Planning Solutions is looking for scientific innovators obsessed with building the AI/ML intelligence that makes orchestrating complex global operations feel effortless. Here, you'll do more than just build models; you'll create 'delight' by discovering and deploying the science that delivers exactly what our customers need, right when they need it. If you're ready to transform complex data patterns into breakthrough AI capabilities that power intuitive human experiences, you've found your team. Network Planning Solutions architects and orchestrates Amazon's customer service network of the future. By building AI-native solutions that continuously learn, predict and optimize, we deliver seamless customer experiences and empower associates with high-value work—driving measurable business impact at a global scale. As a Sr. Manager, Applied Science, you will own the scientific innovation and research initiatives that make this vision possible. You will lead a team of applied scientists and collaborate with cross-functional partners to develop and implement breakthrough scientific solutions that redefine our global network. Key job responsibilities Lead AI/ML Innovation for Network Planning Solutions: - Develop and deploy production-ready demand forecasting algorithms that continuously sense and predict customer demand using real-time signals - Build network optimization algorithms that automatically adjust staffing as conditions evolve across the service network - Architect scalable AI/ML infrastructure supporting automated forecasting and network optimization capabilities across the system Drive Scientific Excellence: - Build and mentor a team of applied scientists to deliver breakthrough AI/ML solutions - Design rigorous experiments to validate hypotheses and quantify business impact - Establish scientific excellence mechanisms including evaluation metrics and peer review processes Enable Strategic Transformation: - Drive scientific innovation from research to production - Design and validate next-generation AI-native models while ensuring robust performance, explainability, and seamless integration with existing systems. - Partner with Engineering, Product, and Operations teams to translate AI/ML capabilities into measurable business outcomes - Navigate ambiguity through experimentation while balancing innovation with operational constraints - Influence senior leadership through scientific rigor, translating complex algorithms into clear business value A day in the life Your day will be a dynamic blend of scientific innovation and strategic problem-solving. You'll collaborate with cross-functional teams, design AI algorithms, and translate complex data patterns into intuitive solutions that drive meaningful business impact. About the team We are Network Planning Solutions, a team of scientific innovators dedicated to reshaping how global service networks operate. Our mission is to create AI-native solutions that continuously learn, predict, and optimize customer experiences. We empower our associates to tackle high-value challenges and drive transformative change at a global scale.
Sr. Applied Science Manager, Agentic AI Ads, Sponsored Products and Brands
US, CA, Palo Alto
Sponsored Products and Brands (SPB) is at the heart of Amazon Advertising, helping millions of advertisers—from small businesses to global brands—connect with customers at the moments that matter most. Our advertising solutions enable sellers, vendors, and brand owners to grow their businesses by reaching shoppers with relevant, engaging ads across Amazon's store and beyond. We're obsessed with delivering measurable results for advertisers while creating a delightful shopping experience for customers. Are you interested in defining the science behind the future of advertising? Sponsored Products and Brands science teams are pioneering breakthrough agentic AI systems—pushing the boundaries of large language models, autonomous reasoning, planning, and decision-making to build intelligent agents that fundamentally transform how advertisers succeed on Amazon. As an SPB applied science leader, you'll have end-to-end ownership of the product and scientific vision, research agenda, model architectures, and evaluation frameworks required to deliver state-of-the-art agentic AI solutions for our advertising customers. You'll get to work on problems that are fast-paced, scientifically rich, and deeply consequential. You'll also be able to explore novel research directions, take bold bets, and collaborate with remarkable scientists, engineers, and product leaders. We'll look for you to bring your diverse perspectives, deep technical expertise, and scientific rigor to make Amazon Advertising even better for our advertisers and customers. With global opportunities for talented scientists and science leaders, you can decide where a career in Amazon Ads Science takes you! We are kicking off a new initiative within SPB to leverage agentic AI solutions to revolutionize how advertisers create, manage, and optimize their advertising campaigns. This is a unique opportunity to lead a business-critical applied science initiative from its inception—defining the scientific charter, establishing foundational research pillars, and building a multi-year science roadmap for transformative impact. As the single-threaded applied science leader, you will build and guide a dedicated team of applied scientists, research scientists, and machine learning engineers, working closely with cross-functional engineering and product partners, to research, develop, and deploy agentic AI systems that fundamentally reimagine the advertiser journey. Your charter will begin with advancing the science behind intelligent agents that simplify campaign creation, automate optimization decisions through autonomous reasoning and planning, and deliver personalized advertising strategies at scale. You will pioneer novel approaches in areas such as LLM-based agent architectures, multi-step planning and tool use, retrieval-augmented generation, reinforcement learning from human and business feedback, and robust evaluation methodologies for agentic systems. You will expand to proactively identify and tackle the next generation of AI-powered advertising experiences across the entire SPB portfolio. This high-visibility role places you as the science leader driving our strategy to democratize advertising success—making it effortless for advertisers of all sizes to achieve their business goals while delivering relevant experiences for Amazon customers. Key job responsibilities Build, mentor, and lead a new, high-performing applied science organization of applied scientists, research scientists, and engineers, fostering a culture of scientific excellence, innovation, customer obsession, and ownership. Define, own, and drive the long-term scientific and product vision and research strategy for agentic AI-powered advertising experiences across Sponsored Products and Brands—identifying the highest-impact research problems and charting a path from exploration to production. Lead the research, design, and development of novel agentic AI models and systems—including LLM-based agent architectures, multi-agent orchestration, planning and reasoning frameworks, tool-use mechanisms, and retrieval-augmented generation pipelines—that deliver measurable value for advertisers and create delightful, intuitive experiences. Establish rigorous scientific methodology and evaluation frameworks for assessing agent performance, reliability, safety, and advertiser outcomes, setting a high bar for experimentation, reproducibility, and offline-to-online consistency. Partner closely with senior business, engineering, and product leaders across Amazon Advertising to translate advertiser pain points and business opportunities into well-defined science problems, and deliver cohesive, production-ready solutions that drive advertiser success. Drive execution from research to production at scale, ensuring models and agentic systems meet high standards for quality, robustness, latency, safety, and reliability for mission-critical advertising services operating at Amazon scale. Champion a culture of scientific inquiry and technical depth that encourages bold experimentation, publication of novel research, relentless simplification, and continuous improvement. Communicate your team's scientific vision, research breakthroughs, strategy, and progress to senior leadership and key stakeholders, ensuring alignment with broader Amazon Advertising objectives and contributing to Amazon's position at the forefront of applied AI. Develop a science roadmap directly tied to advertiser outcomes, revenue growth, and business plans, delivering on commitments for high-impact research and modeling initiatives that shape the future of AI-powered digital advertising.
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