Summary written by USA Jobs 24 from Epic Games' advert and our data on 17,030 current US jobs. How we check every job
At a glance
Epic Games is hiring a Senior Machine Learning Engineer, Discovery Recommendations in Cary, NC. It is a full-time role in Data, AI & Analytics, asking for at least 5 years of experience, first listed on November 1. The advertised pay is $232,666–$341,243 a year. The description mentions Machine learning, Deep learning, Python, PyTorch, Apache Spark and NLP. Epic Games has 99 other openings in the US, 93 of them in Cary, NC. Across all employers on USA Jobs 24 there are 17 Data & AI openings in Cary, NC today; the typical one asks for 5 years and advertises about $275,000 a year at the midpoint.
Machine learningDeep learningPythonPyTorchApache SparkNLPGenerative AIDatabricks
How the pay compares
Epic Games advertises $232,666 to $341,243 a year, a midpoint of $286,955 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 93% of the 40 data & AI jobs in North Carolina that publish a yearly rate on USA Jobs 24, where the typical midpoint is $180,000 a year. To see roughly what this leaves after federal and North Carolina tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while NLP is the least common (6%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Epic Games' Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Cary, NC. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 5 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Machine learning, Deep learning and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Epic Games' own site. Our Apply button goes straight to Epic Games' Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Epic Games
Epic Games has 100 openings on USA Jobs 24 today across 5 states. Most are in software & IT (36), data & AI (17) and product & design (14). The biggest locations are Cary, NC (94), Bellevue, WA (4) and Salt Lake City, UT (3). None of them is fully remote, 15% are open to entry-level candidates and 37% show pay. We collect Epic Games' jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Epic Games' own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Epic GamesHide the advert795 words
WHAT MAKES US EPIC?
At 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.
Being 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.
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 You'll Do
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 across a massive catalog of creator-built experiences.
You'll 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, 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.
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 we're looking for
- 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
This role is open to multiple locations across the US (including CA, NYC, & WA).
Pay Transparency Information
The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).
New York City Base Pay Range
$232,666—$341,243 USD
California Base Pay Range
$209,399—$307,199 USD
Washington Base Pay Range
$190,363—$279,199 USD
ABOUT US
Epic 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.
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.
USA Jobs 24 copied this listing from Epic Games' official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Epic Games will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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