Senior Machine Learning Engineer, Discovery Recommendations
Epic Games · Cary,North Carolina,United States
Posted about 2 months ago
or apply directly on Epic Games's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 55 days Epic Games's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 0% of Epic Games's roles list one
- Ghost-job risk at Epic Games
- high 130 stale, 9 reposted of 165 open
- Hiring momentum
- 210 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Epic Games's own greenhouse board since 2026-08-03. Full hiring picture for Epic Games.
About this role
As a Senior Machine Learning Engineer at Epic Games, you will design and optimize recommendation systems for Fortnite's Discover experience, focusing on personalized content for a large player base. Your responsibilities will include building multi-stage pipelines, conducting A/B experiments, and collaborating with analytics teams to enhance content ranking. You will also make infrastructure decisions to balance various serving architectures for the rapidly changing content library.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Epic Games as an employer.
What you need
- 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
Nice to have
- Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS
- Passion for video games and/or experience with gaming analytics
What you get
- 100% of premiums for medical, dental, and vision coverage for employees and dependents
- Long Term Disability and Life Insurance
- 401k with competitive match
- Robust mental well-being program through Modern Health, providing free therapy and coaching for employees & dependents
- Unlimited PTO and sick time
- Paid sabbatical after 7 years of employment
Worth weighing
- No salary listed
- Focus on rapidly changing content library may present unique challenges in model training and evaluation
Summarised from Epic Games's posting. Read the full original.
Listed by Epic Games on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
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