{"id":3027406,"url":"https://alion.io/job/epic-games-senior-machine-learning-engineer-discovery-recommendations-3","title":"Senior Machine Learning Engineer, Discovery Recommendations","company":{"id":5583,"name":"Epic Games","domain":"epicgames.com","url":"https://alion.io/company/epic-games","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":17,"ghost_share":0,"stale_share":0.118,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cary, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":166000,"max_usd":319000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reranking","optional":false},{"name":"Spark","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"Ray","optional":true},{"name":"Unreal Engine","optional":true}],"status":"live","first_seen_at":"2026-10-21T19:08:10Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T21:14:46Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"WHAT MAKES US EPIC?\nAt the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.\nBeing Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.\nANALYTICS\nWhat We Do\nOur Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.\nWhat You'll Do\nYou will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences.\nYou'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking.\nUnlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from.\nIn this role, you will\nDesign and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery\nBuild and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog\nDesign and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment\nCollaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics\nOwn ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures\nWhat we're looking for\n5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context\nExperience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking)\nDemonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems\nStrong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)\nComfort working in a cloud-based ML environment\nExperience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation\nExperience with content understanding models (NLP, vision, or generative AI) used as ranking features\nFamiliarity with creator economy dynamics and how recommendation design affects content quality and creator incentives\nExperience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS\nPassion for video games and/or experience with gaming analytics\nEPIC JOB + EPIC BENEFITS = EPIC LIFE\nOur intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.\nABOUT US\nEpic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.\nLike what you hear? Come be a part of something Epic!\nEpic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.\nNote to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.","description_format":"text","description_chars":5409,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["PC Games","Game Development","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-10-21T19:26:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 22 · green card filings: 6","filings_12m":22,"filings_prev_12m":61,"green_card_filings_12m":6,"median_offered_wage_usd":191429,"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":12}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":76,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/epic-games-senior-machine-learning-engineer-discovery-recommendations-3","json_url":"https://alion.io/job/epic-games-senior-machine-learning-engineer-discovery-recommendations-3.json","meta":{"generated_at":"2026-10-23T01:16:19Z","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":2123,"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":5583},"rest":"https://alion.io/mcp/rest/get_company?id=5583"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fepic-games-senior-machine-learning-engineer-discovery-recommendations-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%2Fepic-games-senior-machine-learning-engineer-discovery-recommendations-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%2Fepic-games-senior-machine-learning-engineer-discovery-recommendations-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/epic-games-senior-machine-learning-engineer-discovery-recommendations-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fepic-games-senior-machine-learning-engineer-discovery-recommendations-3"}]}