Machine Learning Engineer, Discovery Recommendations

Epic Games

New York City, NY, US
Base: $184,481-$270,571 (nyc); $162,343-$238,103 (...
On-site
3-5 years production recommendation experience
Deep learning for information retrieval
Python engineering with pytorch
Epic Games is seeking a Machine Learning Engineer specializing in discovery recommendations to design and optimize personalized recommendation systems for Fortnite's Discover experience. The role requires extensive experience in building production recommendation systems, particularly in user-generated content contexts, and offers competitive benefits and a collaborative work environment

Job Summary

  • You 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.
  • Epic Games offers comprehensive benefits including 100% premium coverage for medical, dental, and vision for you and your dependents, along with unlimited PTO and sick time.
  • The role requires owning ML infrastructure decisions and balancing relevance, diversity, and fair content exposure across a massive, rapidly evolving catalog of creator-built experiences.

Matching Summary

Match Score: 85

Epic Games is seeking a Machine Learning Engineer specializing in discovery recommendations to design and optimize personalized recommendation systems for Fortnite's Discover experience. The role requires extensive experience in building production recommendation systems, particularly in user-generated content contexts, and offers competitive benefits and a collaborative work environment.

Salary

Base: $184,481-$270,571 (NYC); $162,343-$238,103 (CA); $147,584-$216,457 (WA); Bonus/Equity: Discretionary incentive programs eligible; Benefits: Full medical/dental/vision coverage, 401k match, unlimited PTO

Skills & Requirements

Must-have

  • 3-5 years production recommendation experience
  • Deep learning for information retrieval
  • Python engineering with PyTorch
  • A/B experiment design and analysis
  • Multi-stage candidate generation pipelines

Nice-to-have

  • Experience with creator economy dynamics
  • Passion for video games
  • Content understanding models expertise
  • Cloud-based ML environment comfort
  • Exploration/exploitation strategy knowledge

Key Requirements

  • 3-5+ years experience building production recommendation systems
  • Strong Python skills with PyTorch and Spark
  • Experience with large-scale data processing frameworks

Work Rights

Not specified

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