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Reinforcement Learning Engineer Jobs in Concord, NC

Belk

Decision Scientist

Charlotte, NC · On-site

... to reinforcement learning, multi-armed bandit, or contextual bandit approaches; willingness to develop deeper expertise * Strong SQL skills for complex data extraction and feature engineering from ...

Belk

Decision Scientist

Charlotte, NC · On-site

... to reinforcement learning, multi-armed bandit, or contextual bandit approaches; willingness to develop deeper expertise * Strong SQL skills for complex data extraction and feature engineering from ...

1 point system

Application Architect III

Charlotte, NC · On-site

Strong experience in agent based intelligent control systems and reinforcement learning. Strong ... Hands-on in symbolic programming, event-based system design. Experience in software development of ...

CDW

Principal Consultant- AWS

Concord, NC · On-site

... learning, unsupervised learning, reinforcement learning, deep learning, and natural language ... Strong knowledge of DevOps principles and practices, including continuous integration, continuous ...

CDW

Principal Consultant-AWS

Concord, NC · On-site

... learning, unsupervised learning, reinforcement learning, deep learning, and natural language ... Strong knowledge of DevOps principles and practices, including continuous integration, continuous ...

Bank of America

Data Scientist I

Charlotte, NC · On-site

As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building ... LLMs, Reinforcement Learning * Are energized by the high stakes and intensity of dynamic ...

Extended Stay America

Field Trainer

Charlotte, NC · On-site

$51K - $56K/yr

... programming and certifications for ESA Company Owned and Franchise hotels. They are the training ... Working as a subject matter expert, to share updates regarding learning metrics, including required ...

Extended Stay America

Field Trainer

Charlotte, NC · On-site

$51K - $56K/yr

... programming and certifications for ESA Company Owned and Franchise hotels. They are the training ... Working as a subject matter expert, to share updates regarding learning metrics, including required ...

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Concord, NC

Reinforcement Learning Engineer information

See Concord, NC salary details

$35.4K

$107.9K

$178.4K

How much do reinforcement learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for reinforcement learning engineer in Concord, NC is $107,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,100.00 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 are popular job titles related to Reinforcement Learning Engineer jobs in Concord, NC?

For Reinforcement Learning Engineer jobs in Concord, NC, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer jobs in Concord, NC look for?

The top searched job categories for Reinforcement Learning Engineer jobs in Concord, NC are:

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

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

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Concord, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $107,914 per year, or $51.9 per hour.

Principal Coding Annotator / LLM Evaluation Engineer

Albemarle, NC • On-site, Remote

Braintrust
See more jobs at Braintrustexternal

$75 - $90/hr

Full-time

Posted 5 days ago

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

This is a contracting engagement - initially 6 months - with potential for long term engagement.

Location: Paris or London-based preferred; alternatively Europe remote for strong candidates


We are building and evaluating state-of-the-art large language models (LLMs) and are looking for experienced software engineers to join our evaluation and annotation team. This role sits at the intersection of real-world software engineering, model evaluation, and applied AI, and is critical to improving model reliability, reasoning, and code quality.

You will design challenging coding tasks, evaluate model outputs against rigorous benchmarks, identify failure modes, and contribute to reinforcement learning and model improvement workflows.

This is not a junior annotation role. We are looking for practitioners with deep hands-on coding experience who can think like both an engineer and an evaluator.

What You’ll Do
  • Evaluate coding tasks involving software vulnerabilities, exploit verification, and security patches.
  • Create high-quality coding prompts and reference answers (benchmark-style, e.g. SWE-Bench-like problems).
  • Evaluate LLM outputs for code generation, refactoring, debugging, and implementation tasks.
  • Identify and document model failures, edge cases, and reasoning gaps.
  • Perform head-to-head evaluations between private LLMs (Mistral-based) and leading external models.
  • Build or configure coding environments to support evaluation and reinforcement learning (RL).
  • Follow detailed annotation and evaluation guidelines with high consistency.
What We’re Looking For
  • 5+ years of professional software development experience.
  • Strong Python skills (required).
  • Knowledge of at least one additional programming language (bonus).
  • Experience with professional code review, coding annotation, LLM/code evaluation, or benchmark design is a plus, but not required.
  • Hands-on experience with vulnerability research, exploit reproduction or verification, or implementing, backporting, or validating security patches.
  • Proven ability to apply structured evaluation criteria and write clear technical feedback.
  • Fluent in English (written and spoken).
  • Team lead or mentoring experience is a strong plus.
Why This Role
  • Work hands-on with cutting-edge LLMs.
  • Apply real-world engineering judgment to model evaluation and improvement.
  • High-impact, technical work with a focused, senior team.

Apply