Machine Learning Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's machine learning engineer job market is anchored by Research Triangle Park, where companies like IBM, Cisco, and Red Hat maintain large engineering teams, alongside a growing fintech corridor in Charlotte. Duke University, NC State, and UNC Chapel Hill supply a steady pipeline of ML talent, making the state an active hub for visa sponsorship hiring.
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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.
Machine Learning Engineer Job Roles in North Carolina
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Search Machine Learning Engineer Jobs in North CarolinaMachine Learning Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in North Carolina?
Several large employers in North Carolina have consistent records of sponsoring H-1B visas for machine learning engineers. Companies concentrated in Research Triangle Park, including IBM, Cisco, Red Hat, and SAS Institute, regularly file H-1B petitions for ML roles. In Charlotte, major banks and fintech firms also sponsor engineers for data science and machine learning positions. Biotech and pharmaceutical companies in the Durham and Raleigh corridor are additional active sponsors.
Which visa types are most common for machine learning engineer roles in North Carolina?
The H-1B is the most common visa for machine learning engineers in North Carolina, as ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. The O-1A is an option for engineers with demonstrated exceptional ability, such as published research or notable industry recognition. Candidates completing degrees at NC State, Duke, or UNC may initially work under F-1 OPT or STEM OPT before transitioning to employer-sponsored status.
Which cities in North Carolina have the most machine learning engineer sponsorship jobs?
Raleigh and Durham, anchored by Research Triangle Park, account for the largest concentration of machine learning engineer sponsorship jobs in North Carolina. The Triangle's density of technology companies, research universities, and life sciences firms drives consistent demand for ML talent requiring visa support. Charlotte is the second-largest market, particularly within financial services and enterprise technology. Smaller but growing clusters exist in Chapel Hill and Cary, often tied to university spinouts and mid-sized tech firms.
How to find machine learning engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, including machine learning engineer positions in North Carolina. You can filter job listings by state and role to surface employers in the Triangle, Charlotte, and surrounding areas that have a documented history of sponsoring visas. Searching on Migrate Mate saves time compared to manually screening general job postings where sponsorship availability is often unclear or unstated.
Are there any North Carolina-specific considerations for machine learning engineers pursuing visa sponsorship?
North Carolina's three major research universities, NC State, Duke, and UNC Chapel Hill, have strong ties to regional employers, which can benefit international graduates already in the state on F-1 status. Research Triangle Park employers are generally experienced with H-1B sponsorship processes, given the park's long history of hosting multinational technology and pharmaceutical firms. Machine learning roles in North Carolina's life sciences sector may require domain knowledge specific to bioinformatics or clinical data, which can factor into how a position is classified for sponsorship purposes.
What is the prevailing wage for sponsored machine learning 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.