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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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Applied Scientist, Personalization
GB, MLN, Edinburgh
We’re looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science team to delight customers by aiding in recommendations relevancy, and raise the profile of Amazon as a global leader in machine learning and personalization. Successful candidates will have strong technical ability, focus on customers by applying a customer-first approach, excellent teamwork and communication skills, and a motivation to achieve results in a fast-paced environment. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazon’s vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. Collaborate with software engineers to integrate successful experimental results into large-scale, highly complex Amazon production systems capable of handling 100,000s of transactions per second at low latency. Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.
Manager, Applied Scientist
IN, TS, Hyderabad
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
Sr. Applied Scientist, Prime Video Peak Forecasting
US, WA, Seattle
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! In Prime Video READI, our mission is to automate infrastructure scaling and operational readiness. We are growing a team specialized in time series modeling, forecasting, and release safety. This team will invent and develop algorithms for forecasting multi-dimensional related time series. The team will develop forecasts on key business dimensions with optimization recommendations related to performance and efficiency opportunities across our global software environment. As a founding member of the core team, you will apply your deep coding, modeling and statistical knowledge to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with complete independence and are often assigned to focus on areas where the business and/or architectural strategy has not yet been defined. You must be equally comfortable digging in to business requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than delivering for our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies to your solutions. If you crave a sense of ownership, this is the place to be.
Senior Data Scientist - APS, Publisher Products
US, CA, Palo Alto
Amazon’s Advertising Technology team builds the technology infrastructure and ad serving systems to manage billions of advertising queries every day. The result is better quality advertising for publishers and more relevant ads for customers. In this organization you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading companies. Amazon Publisher Services (APS) helps publishers of all sizes and on all channels better monetize their content through effective advertising. APS unites publishers with advertisers across devices and media channels. We work with Amazon teams across the globe to solve complex problems for our customers. The end results are Amazon products that let publishers focus on what they do best - publishing. The APS Publisher Products Engineering team is responsible for building cloud-based advertising technology services that help Web, Mobile, Streaming TV broadcasters and Audio publishers grow their business. The engineering team focuses on unlocking our ad tech on the most impactful Desktop, mobile and Connected TV devices in the home, bringing real-time capabilities to this medium for the first time. As a Data Scientist in our team, you will collaborate directly with developers and scientists to produce modeling solutions, you will partner with software developers and data engineers to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, automate and scale the analysis, and develop metrics (like ROAS, Share of Wallet) that will enable us to continually delight our customers worldwide. As a successful data scientist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical aptitude will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. Major responsibilities include: · Utilizing code (Apache, Spark, Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems. · Collaborate with product, BIEs, software developers, and business leaders to define product requirements and provide analytical support · Build customer-facing reporting to provide insights and metrics which track system performance · Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
Applied Scientist , Amazon
US, WA, Seattle
Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. The Ad Response Prediction team in Sponsored Products organization build advanced deep-learning models, large-scale machine-learning pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team. Key job responsibilities As a Applied Scientist II, you will: * Conduct hands-on data analysis, build large-scale machine-learning models and pipelines * Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production * Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management * Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving * Provide technical leadership, research new machine learning approaches to drive continued scientific innovation * Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences
Applied Scientist, mmPROS Surface Transportaton Research Science
US, WA, Bellevue
mmPROS Surface Research Science seeks an exceptional Applied Scientist with expertise in optimization and machine learning to optimize Amazon's middle mile transportation network, the backbone of its logistics operations. Amazon's middle mile transportation network utilizes a fleet of semi-trucks, trains, and airplanes to transport millions of packages and other freight between warehouses, vendor facilities, and customers, on time and at low cost. The Surface Research Science team delivers innovation, models, algorithms, and other scientific solutions to efficiently plan and operate the middle mile surface (truck and rail) transportation network. The team focuses on large-scale problems in vehicle route planning, capacity procurement, network design, forecasting, and equipment re-balancing. Your role will be to build innovative optimization and machine learning models to improve driver routing and procurement efficiency. Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers. You will operate as part of a team of innovative, experienced scientists working on optimization and machine learning. You will work in close collaboration with partners across product, engineering, business intelligence, and operations. Key job responsibilities - Design and develop optimization and machine learning models to inform our hardest planning decisions. - Implement models and algorithms in Amazon's production software. - Lead and partner with product, engineering, and operations teams to drive modeling and technical design for complex business problems. - Lead complex modeling and data analyses to aid management in making key business decisions and set new policies. - Write documentation for scientific and business audiences. About the team This role is part of mmPROS Surface Research Science. Our mission is to build the most efficient and optimal transportation network on the planet, using our science and technology as our biggest advantage. We leverage technologies in optimization, operations research, and machine learning to grow our businesses and solve Amazon's unique logistical challenges. Scientists in the team work in close collaboration with each other and with partners across product, software engineering, business intelligence, and operations. They regularly interact with software engineering teams and business leadership.
Applied Scientist, ML Applications, People eXperience Technology Central Science (PXTCS)
US, IL, Chicago
Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If you do, People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality. PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world. As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength. Key job responsibilities As an Applied Scientist, ML Applications, you will: • Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers • Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. • Partner with the engineering team to deploy your models in production. • Partner with scientists from across PXTCS to solve complex problems and use your team’s expertise to accelerate their ability get their work into production. • Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.
Economist II, Customer Behavior Analytics
US, CA, Sunnyvale
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? This job for you! The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, implementation of tools used to understand customer behavior and value generation for all Amazon programs. Our vision is to ensure that every decision at Amazon is customer-obsessed and maximizes long-term free cash flow (LTFCF). To achieve this we build the best, unbiased and most trusted measures of incremental customer long-term value and make them universally adopted as the company standard for customer-obsessed decisions. Come and join us! Amazon’s CBA team is looking for Economists, who can work at the intersection of economics, statistics and machine learning; and leverage the power of big data to solve complex problems like long-term causal effect estimation. Key job responsibilities Economists at Amazon are expected to work directly with other Economists and senior management on key business problems in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, build trust in the techniques with rigorous science and validation, address quantitative problems, and contribute to design of automated systems around the company.
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