ML Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's ML engineer job market is anchored by Research Triangle Park, home to major employers like Red Hat, Lenovo, and Cisco, alongside strong university pipelines from NC State and Duke. Charlotte's growing tech sector adds further demand. Most roles here are with established tech, healthcare IT, and advanced manufacturing firms that have active visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
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.
ABOUT THE JOB
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.
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
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 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.
INTRODUCTION
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.
ABOUT THE JOB
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.
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
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 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.
ML Engineer Job Roles in North Carolina
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Search ML Engineer Jobs in North CarolinaML Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for ML engineers in North Carolina?
The most active visa sponsors for ML engineers in North Carolina are concentrated in Research Triangle Park and include companies like Red Hat, Cisco, Lenovo, and SAS Institute. Healthcare technology firms such as Labcorp and Duke Health also sponsor ML roles. IBM has a significant presence in RTP and has consistently filed H-1B visa petitions for machine learning and AI engineering positions.
Which visa types are most common for ML engineer roles in North Carolina?
The H-1B is the most common visa for ML engineers in North Carolina, as machine learning roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. O-1A visas are an option for engineers with demonstrable recognition in the field. Candidates already authorized under F-1 OPT or STEM OPT often transition into H-1B sponsorship with RTP-based employers.
Which cities in North Carolina have the most ML engineer sponsorship jobs?
Research Triangle Park, spanning Raleigh, Durham, and Chapel Hill, accounts for the large majority of ML engineer sponsorship activity in the state. Raleigh in particular has seen strong growth in AI and data science hiring. Charlotte is a secondary market, driven by financial services firms like Bank of America and Wells Fargo that are expanding their machine learning teams.
How to find ml engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters ML engineer jobs specifically by visa sponsorship availability, so you can search North Carolina roles without having to manually screen each listing. The platform surfaces positions from employers who have a documented history of sponsoring work visas in technical roles. This is particularly useful for targeting RTP-area companies and Charlotte-based financial tech firms that regularly hire ML engineers on H-1B status.
Are there state-specific factors ML engineers should know when pursuing sponsorship in North Carolina?
North Carolina's university pipeline, particularly from NC State's computer science and statistics programs and Duke's AI research centers, means employers in the state are experienced with OPT-to-H-1B transitions. The Department of Labor's prevailing wage requirements apply to all H-1B filings, and RTP employers typically structure ML engineer compensation to meet Level II or Level III wage determinations for the Raleigh-Durham metro area.
What is the prevailing wage for sponsored ml engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.