{"id":3901825,"url":"https://alion.io/job/amazon-machine-learning-engineer-3","title":"Machine Learning Engineer","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":78,"open_postings":4612,"ghost_share":0,"stale_share":0.888,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-11-07T05:47:08Z"}},"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":["Seattle, United States","Arlington, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":158100,"max":213800,"currency":"USD","period":"year","gross":null,"usd_annual":213800},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Perl","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-07","last_verified_at":"2026-11-07T17:53:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Build the machine learning pipelines and online serving systems that match shoppers with advertised products across one of the world's largest product catalogs, with a high relevance bar and strict latency limits. Your work will directly shape the ads hundreds of millions of customers see in Amazon search results and on detail pages around the world.\nYou'll work closely with machine learning and NLP research scientists to optimize model performance and ML infrastructure, from training pipelines to real-time serving. You'll deliver solutions end to end, then run them to the operational standards needed for services that are always on and used around the globe.\nKey job responsibilities\n- Design, develop and support scalable ML pipelines and online serving systems that deliver highly relevant sponsored ads under strict latency limits\n- Partner with applied and research scientists to optimize ML model performance and infrastructure, and take models from experimentation into production\n- Deliver ML features end to end: system design, implementation, testing, deployment and operations\n- Identify problems, propose solutions and use performance metrics to track system health and model quality\n- Run production services to a high bar for operational excellence (24x7x365) for products used by hundreds of millions of customers\n- Work with Product, UX, QA and other engineers to build the right product for customers\n- Mentor peers and share technical knowledge through design and code reviews\nAbout the team\nThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.\nBasic qualifications\n- 3+ years of non-internship professional software development experience\n- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n- 1+ years of software development engineer or related occupational experience\n- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience\n- 1+ years of Object Oriented Design experience\n- Experience programming with at least one software programming language\nPreferred qualifications\n- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n- Bachelor's degree in computer science or equivalent\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, NY, New York - 158,100.00 - 213,800.00 USD annually\nUSA, VA, Arlington - 143,700.00 - 194,400.00 USD annually\nUSA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually","description_format":"text","description_chars":4725,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Cloud Platforms (IaaS & PaaS)","Logistics","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-11-07T00:59:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 23,961 · green card filings: 81","filings_12m":23961,"filings_prev_12m":24161,"green_card_filings_12m":81,"median_offered_wage_usd":161211,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+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":15486}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":1,"expected_fill_days":28,"reasons":["conf:0","stale_co","wave","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":213800,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-machine-learning-engineer-3","json_url":"https://alion.io/job/amazon-machine-learning-engineer-3.json","meta":{"generated_at":"2026-11-07T19:14:07Z","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":29723,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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-machine-learning-engineer-3"},{"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-machine-learning-engineer-3"},{"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-machine-learning-engineer-3"},{"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-machine-learning-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-machine-learning-engineer-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3901825}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3901825},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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