{"id":2819965,"url":"https://alion.io/job/amazon-applied-scientist-foundation-models-sso","title":"Applied Scientist -- Foundation Models, SSO","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":4528,"ghost_share":0,"stale_share":0.89,"repost_share":0.002,"time_to_fill_p50_days":22,"computed_at":"2026-10-28T05:59:10Z"}},"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":["Houston, 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":"AWS","optional":false},{"name":"AWS Trainium","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TPU","optional":false},{"name":"Triton","optional":false},{"name":"Linux","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-28T19:35:00Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"We are looking for an AI/ML Engineer to build efficient, stable foundation models for long-horizon agentic workloads. The role combines model development with systems and hardware optimization.\nQualifications\nStrong background in machine learning, deep learning, transformers, and foundation models.\nExperience with PyTorch, JAX, or similar frameworks.\nExperience training, fine-tuning, or serving large-scale models.\nKnowledge of GPU architecture, CUDA, Triton, custom kernels, or hardware-aware optimization.\nFamiliarity with distributed training and model parallelism.\nExperience with AWS Trainium, Inferentia, Neuron SDK, TPUs, or other custom accelerators is preferred.\nPhD in machine learning, computer science, electrical engineering, or a related field is preferred.\nKey job responsibilities\nResponsibilities\nDesign, train, fine-tune, and evaluate custom foundation models.\nImprove model efficiency, stability, latency, throughput, and memory usage.\nBuild models that support planning, tool use, memory, self-correction, and multi-step task execution.\nOptimize training and inference using CUDA, Triton, custom GPU kernels, and tensor operations.\nProfile and resolve compute, memory, communication, and distributed-training bottlenecks.\nWork with GPUs and specialized AI accelerators, including AWS Trainium and other custom tensor hardware.\nDevelop evaluations for model reliability and long-horizon agent performance.\nAbout the team\nDiverse Experiences\nAWS values diverse experiences. Even if you do not meet all of the 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.\nWhy AWS?\nAmazon 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.\nInclusive Team Culture\nHere 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) and AmazeCon) conferences, inspire us to never stop embracing our uniqueness.\nMentorship & Career Growth\nWe’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.\nWork/Life Balance\nWe 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.\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 in patents or publications at top-tier peer-reviewed conferences or journals\n- Experience programming in Java, C++, Python or related language\n- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\nPreferred qualifications\n- Experience using Unix/Linux\n- Experience in professional software development\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, TX, Houston - 142,800.00 - 193,200.00 USD annually","description_format":"text","description_chars":4974,"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":"2026-10-18T16:19:40Z"}],"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":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":72,"expected_fill_days":22,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":193200,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-applied-scientist-foundation-models-sso","json_url":"https://alion.io/job/amazon-applied-scientist-foundation-models-sso.json","meta":{"generated_at":"2026-10-28T19:52:34Z","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":27541,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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-foundation-models-sso"},{"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-foundation-models-sso"},{"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-foundation-models-sso"},{"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-foundation-models-sso\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-applied-scientist-foundation-models-sso"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2819965}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2819965},"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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