Machine Learning Engineer, Discovery Recommendations

WHAT MAKES US EPIC

At the core of Epics success are talented passionate people. Epic prides itself on creating a collaborative welcoming and creative environment. Whether its building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences were always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. Were constantly innovating to raise the bar of engine and game development.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make the technology we develop and business decisions that drive Epic.

What Youll Do

You will design build and optimize the recommendation systems that power Fortnites Discover experience serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences.

Youll work across the full recommendation stack: candidate generation content ranking impression allocation and real-time reranking.

Unlike recommendation systems that operate over a stable catalog youre working with a massive rapidly changing content library where new experiences are published daily quality signals are sparse and the systems own outputs shape the data it learns from.

In this role you will

• Design 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
• Build 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
• Design 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
• Collaborate with analytics and content quality teams on ranking signals including genre classification creator credibility and content quality metrics
• Own ML infrastructure decisions: choosing the right tradeoffs between batch near-real-time and streaming serving architectures

What were looking for

• 3-5 years of experience building production recommendation or ranking systems ideally in a UGC marketplace or content discovery context
• Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation scoring reranking)
• Demonstrated ability to design and analyze A/B experiments with awareness of biases inherent to recommendation systems
• Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)
• Comfort working in a cloud-based ML environment
• Experience with explore/exploit strategies content cold-start or counterfactual evaluation methods applied to recommendation
• Experience with content understanding models (NLP vision or generative AI) used as ranking features
• Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives
• Experience with our stack: PyTorch (TorchRec Transformers) Ray Databricks AWS
• Passion for video games and/or experience with gaming analytics

EPIC JOB EPIC BENEFITS EPIC LIFE

Our 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.

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4500 employees globally. For over 25 years weve 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. Epics 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.

Like what you hear Come be a part of something Epic!

Epic 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.

Note 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.