{"id":2801592,"url":"https://alion.io/job/amazon-applied-scientist-worldwide-returns-recommerce-science","title":"Applied Scientist, Worldwide Returns & Recommerce - Science","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4485,"ghost_share":0,"stale_share":0.89,"repost_share":0.001,"time_to_fill_p50_days":18,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142800,"max":193200,"currency":"USD","period":"year","gross":null,"usd_annual":193200},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SQL","optional":false},{"name":"BERT","optional":true},{"name":"Linux","optional":true},{"name":"Transformers","optional":true},{"name":"Unix","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-23T01:43:51Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":57},"description":"Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.\nWWR&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 groundbreaking 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.\nAmazon 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.\nYou 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.\nWe 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.\nAmazon 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!\nKey job responsibilities\n* Design, develop, and evaluate highly innovative models for our Natural Language Understanding (NLU) and Large Language Model (LLM) models\n* Use SQL to query and analyze the data.\n* Use Python, Jupyter notebook, and Pytorch to train/test/deploy NLU/LLM/GenAI models. \n* Use machine learning and analytical techniques to create scalable solutions for business problems.\n* Research and implement novel machine learning and statistical approaches.\n* Mentor interns.\n* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.\nA day in the life\nIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! \nBenefits:\nAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: \n1. Medical, Dental, and Vision Coverage \n2. Maternity and Parental Leave Options \n3. Paid Time Off (PTO) \n4. 401(k) Plan \nLearn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock \nAbout the team\nWhen a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. \nWe operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.\nBasic qualifications\n- 3+ years of building models for business application experience\n- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience\n- Experience programming in Java, C++, Python or related language\n- Experience building machine learning models or developing algorithms for business application\nPreferred qualifications\n- Experience using Unix/Linux\n- Experience in professional software development\n- Experience in patents or publications at top-tier peer-reviewed conferences or journals\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually","description_format":"text","description_chars":6303,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Advertising","Logistics","Logistics & Warehouse Robotics"],"lifecycle":[{"event":"open","at":"2026-10-18T02:52:18Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16,768 · green card filings: 56","filings_12m":16768,"filings_prev_12m":16262,"green_card_filings_12m":56,"median_offered_wage_usd":162609,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":10545}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.171,"p_room":0.28,"age_days":56,"expected_fill_days":18,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":193200,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-applied-scientist-worldwide-returns-recommerce-science","json_url":"https://alion.io/job/amazon-applied-scientist-worldwide-returns-recommerce-science.json","meta":{"generated_at":"2026-10-23T01:51:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3070,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-applied-scientist-worldwide-returns-recommerce-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famazon-applied-scientist-worldwide-returns-recommerce-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famazon-applied-scientist-worldwide-returns-recommerce-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/amazon-applied-scientist-worldwide-returns-recommerce-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-applied-scientist-worldwide-returns-recommerce-science"}]}