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Reinforcement Learning Engineer Jobs in Selma, NC

Lead Data Scientist

Raleigh, NC · On-site

$104.90 - $174.70/hr

Experience with reinforcement learning, prompt engineering, hallucination mitigation* Working understanding of the business risks associated with applying LLM in a business* Experience working with ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

... reinforcement mechanisms * Weighted 10% - Serve as a trusted advisor to executive stakeholders ... Bachelor's degree in Business, Engineering, Analytics, or related field * 8 years of experience + 3 ...

Reinforcement Learning Engineer information

See Selma, NC salary details

$30.3K

$92.4K

$152.7K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for reinforcement learning engineer in Selma, NC is $92,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $120,800.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What cities near Selma, NC are hiring for Reinforcement Learning Engineer jobs?

Cities near Selma, NC with the most Reinforcement Learning Engineer job openings:

Machine Learning Engineer, Memory

Epic Games

Cary, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

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.
ENGINEERING - GAMES
What We Do
Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We're always improving on the tools and technology that empower content developers worldwide.
What You'll Do
As foundation models move from answering questions to acting over long horizons, memory becomes a central requirement. Systems must decide what is worth keeping and improve from experience. Large context windows and retrieval systems are not enough. You will work with researchers on projects across the company that require memory in different modalities to define general solutions that enable models to represent experience, decide what they keep and what they discard, and to efficiently store, retrieve and exploit memory.
In this role, you will
  • Design new memory architectures that work across problems, modalities and products
  • Define new ways to measure and evaluate memory performance
  • Help create and deliver production-ready, scalable and high-quality learning models and associated algorithms
  • Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap
What we're looking for
  • PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience
  • Experience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systems
  • Expert, hands-on knowledge of:
    • Foundational models and vision and/or language, incl. local deployment and model post-training of open weights models
    • Memory, state, or long-horizon behaviour in foundation models: your experience may come from language agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modelling
    • Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
  • Experience with working collaboratively with other developers, following a flexible and agile approach
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.