{"id":2892967,"url":"https://alion.io/job/netflix-machine-learning-scientist-5-ad-ranking","title":"Machine Learning Scientist 5 - Ad Ranking","company":{"id":5888,"name":"Netflix","domain":"netflix.com","url":"https://alion.io/company/netflix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":88,"open_postings":82,"ghost_share":0,"stale_share":0.488,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Los Angeles, United States","Los Gatos, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":466000,"max":750000,"currency":"USD","period":"year","gross":null,"usd_annual":750000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false}],"status":"live","first_seen_at":"2026-04-07T00:00:00Z","employer_posted_date":"2026-04-07","last_verified_at":"2026-10-23T14:20:47Z","board_verified":true,"closed_at":null,"days_open":199,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":199},"description":"At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.\nWe launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.\nOur Team:\nThe Ad Ranking team within the Ads Data Science and Engineering organization is the central intelligence driving ad personalization at Netflix. The team is responsible for enhancing ad quality and performance through advanced machine learning and optimization algorithms, utilizing both proprietary and external data signals. Key areas of focus include Identity Science, User Understanding, Audience & Targeting, Relevance & Engagement Prediction, and Bidding & Pacing. Our goal is to create innovative, data-driven solutions that deliver highly relevant ad experiences for our members and achieve impactful results for advertisers, all while upholding the exceptional quality and personalization characteristic of the Netflix experience.\nResponsibilities:\nDesign and implement machine learning and optimization algorithms to improve ad quality and performance.\n\nBuild, train, and evaluate models on large-scale production data.\n\nDevelop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements.\n\nPartner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals.\n\nCommunicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions.\n\nQualifications:\nAdvanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field.\n\nProficiency in Python, Scala or Java.\n\nDeep knowledge of machine learning, optimization, and data analysis techniques.\n\nExperience with prototyping and deploying algorithms using large-scale production data.\n\nStrong business acumen and ability to translate technical results into business impact.\n\nExperience in ad optimization stack, e.g. targeting, ranking, bidding..\n\nExcellent communication and collaboration skills.\n\nGenerally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.\nNetflix is a unique culture and environment. Learn more here.\nInclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.\nWe are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.\nJob is open for no less than 7 days and will be removed when the position is filled.","description_format":"text","description_chars":4568,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Retirement plans","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-10-20T03:29:04Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.586,"p_room":0.28,"age_days":199,"expected_fill_days":58,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":750000,"is_top_pay":true},"html_url":"https://alion.io/job/netflix-machine-learning-scientist-5-ad-ranking","json_url":"https://alion.io/job/netflix-machine-learning-scientist-5-ad-ranking.json","meta":{"generated_at":"2026-10-23T16:05:42Z","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":24376,"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":5888},"rest":"https://alion.io/mcp/rest/get_company?id=5888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnetflix-machine-learning-scientist-5-ad-ranking"},{"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%2Fnetflix-machine-learning-scientist-5-ad-ranking"},{"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%2Fnetflix-machine-learning-scientist-5-ad-ranking"},{"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/netflix-machine-learning-scientist-5-ad-ranking\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnetflix-machine-learning-scientist-5-ad-ranking"}]}