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Reinforcement Learning Engineer Jobs in Raleigh, NC

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/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 ...

RELX Group plc

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115.40K - $192.30K/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 ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

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

RELX

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115.40K - $192.30K/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 ...

LexisNexis

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115.40K - $192.30K/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 ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

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

LexisNexis

Manager, Data Science - Agentic AI

Raleigh, NC

$115.40K - $192.30K/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 ...

MED-EL Corporation

Project Manager II

Durham, NC

... engineering, and manufacturing techniques to offer performance, safety, and reliability. With ... This role is ideal for someone who values continuous learning, adapts quickly in evolving ...

MED-EL Corporation

Project Manager II

Durham, NC · On-site

... engineering, and manufacturing techniques to offer performance, safety, and reliability. With ... This role is ideal for someone who values continuous learning, adapts quickly in evolving ...

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Reinforcement Learning Engineer information

See Raleigh, NC salary details

$36.9K

$112.6K

$186.2K

How much do reinforcement learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for reinforcement learning engineer in Raleigh, NC is $112,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $147,300.00 per year, depending on experience, location, and employer.

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 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 Reinforcement Learning Engineers?

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 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 are popular job titles related to Reinforcement Learning Engineer jobs in Raleigh, NC? For Reinforcement Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Reinforcement Learning Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Reinforcement Learning Engineer jobs? Cities near Raleigh, NC with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Lead Data Scientist

Lead Data Scientist

RELX Group plc

Raleigh, NC • On-site

$104.90K - $174.70K/yr

Full-time

Posted 6 days ago

Job description

About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
We are seeking a Lead Data Scientist toleads a team of junior members to support their development and work product. You will define the scope of a project and execute that project as a team. As a Lead you will support the development and training of junior members and develop best practices as team leaders.
For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
  • Leading the development of advanced AI and machine learning models to solve complex business problems
  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
  • Analyzing large datasets to identify patterns and trends that can inform AI development
  • Communicating findings and insights to stakeholders in a clear and concise manner
  • Staying current with the latest AI and machine learning trends and technologies
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices
  • Driving best practices across our data science functions
  • Setting strategy and team direction, with a clear vision for Data Science
  • Working with product leaders to apply data science solutions.
  • Evaluating and creating new frameworks and defining methodologies and governance
  • Leading small- to medium-sized teams
  • Setting a high bar for model development

Requirements:
  • Have substantial experience in a senior data scientist role
  • Have experience in leading complex projects and customer relationships
  • Have significant experience in leading technical teams
  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
  • Be a natural problem solver, able to take a lead in collaborating to resolve issues
  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think outside the box
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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