{"id":2732943,"url":"https://alion.io/job/amazon-senior-applied-scientist-amazon-ads","title":"Senior Applied Scientist , Amazon Ads","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":4442,"ghost_share":0,"stale_share":0.891,"repost_share":0.001,"time_to_fill_p50_days":22,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","New York, United States","Washington, United States","Seattle, United States","Arlington, United States","Bellevue, United States","Santa Monica, United States","Sunnyvale, United States","Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":192200,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Hadoop","optional":true},{"name":"NumPy","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-27T15:49:14Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"Your Next Big Challenge Starts Here\nYou've spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people - every single day.\nAt Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience using generative AI, large language models, and next-generation ML. From the moment a brand crafts a campaign to the instant a customer discovers something they love - your science powers it all.\nBillions of impressions. Millions of clicks. Petabytes of data. And you - at the center of it.\nWhy This Role Will Excite You\nUnmatched scale and resources. You'll have access to computational power and datasets most scientists only dream about. Build solutions that don't just work in a notebook - they work at planet scale.\nBreadth that keeps you sharp. One quarter you might be optimizing real-time bidding systems. The next, you're building creative AI that generates ad content. Ranking, personalization, NLP, computer vision, LLMs - it's all on the table.\nYour ideas ship. This isn't a research lab where papers collect dust. You'll take models from concept to production, run A/B experiments, and see your work move metrics that matter - for advertisers, customers, and the business.\nPeople who push you forward. You'll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are.\nWhat You'll Actually Do\nResearch and build next-generation ML solutions - including generative AI and LLM applications - that transform how advertising works\nOwn end-to-end projects: from messy, ambiguous problems to deployed, production-grade models\nDesign experiments that validate your hypotheses and measure real business impact\nBuild models that balance what's best for customers and advertisers - because great advertising should feel helpful, not intrusive\nWork cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster\nDevelop scalable ML pipelines that optimize monetization without sacrificing customer experience\nWhere This Takes Your Career\nWhether you want to go deep as a technical IC or grow into people leadership - both paths are real here. You'll have opportunities to:\nLead high-visibility technical initiatives\nMentor and grow other scientists\nShape strategy alongside senior leadership\nBuild a reputation in a community that genuinely values scientific excellence\nYour work won't just be seen internally - it'll impact millions of customers and advertisers worldwide.\nWatch Scientists at Amazon Ads Talk About Their Work\nhttps://www.youtube.com/watch?v=vvHsURsIPEA\nLearn More About Amazon Ads\nhttps://advertising.amazon.com/\nBasic Qualifications\n5+ years building ML models for real business applications\nPhD, or Master's degree + 6 years of applied research experience\nStrong programming skills in Python, Java, C++, or similar\nHands-on experience with deep learning and neural network methods\nPreferred Qualifications\nExperience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy\nExperience with large-scale distributed systems (Hadoop, Spark, etc.)\nBasic qualifications\n- 3+ years of building machine learning models for business application experience\n- PhD, or Master's degree and 6+ years of applied research experience\n- Experience programming in Java, C++, Python or related language\n- Experience with neural deep learning methods and machine learning\nPreferred qualifications\n- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.\n- Experience with large scale distributed systems such as Hadoop, Spark etc.\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\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, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually\nUSA, CA, Santa Monica - 167,100.00 - 226,100.00 USD annually\nUSA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually\nUSA, MA, Boston - 167,100.00 - 226,100.00 USD annually\nUSA, MD, Washington DC - 167,100.00 - 226,100.00 USD annually\nUSA, NY, New York - 183,800.00 - 248,700.00 USD annually\nUSA, NY, New York City - 183,800.00 - 248,700.00 USD annually\nUSA, VA, Arlington - 167,100.00 - 226,100.00 USD annually\nUSA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually\nUSA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually","description_format":"text","description_chars":6553,"description_truncated":false,"requirements":{"experience_years_min":6,"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":"2026-10-16T18:13:56Z"}],"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":0.294,"p_room":0.28,"age_days":89,"expected_fill_days":22,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":260000,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-senior-applied-scientist-amazon-ads","json_url":"https://alion.io/job/amazon-senior-applied-scientist-amazon-ads.json","meta":{"generated_at":"2026-10-27T19:13:03Z","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":9752,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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-senior-applied-scientist-amazon-ads"},{"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-senior-applied-scientist-amazon-ads"},{"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-senior-applied-scientist-amazon-ads"},{"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-senior-applied-scientist-amazon-ads\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-senior-applied-scientist-amazon-ads"}]}