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Reinforcement Learning Engineer Jobs in Concord, NC

Belk

Decision Scientist

Charlotte, NC

... 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

... 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

... 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

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 ...

Career Search

Preschool Teacher: Lowe's YMCA

Mooresville, NC · On-site

$13.25 - $17.75/hr

The YMCA Preschool Teacher is responsible for creating a safe, nurturing, and engaging learning ... positive reinforcement strategies. Excellent communication and interpersonal skills to build ...

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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 Aug 29, 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.

Sr. Machine Learning/AI Engineer

Financial Independence Group

Cornelius, NC • On-site

$96K - $132K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Financial Independence Group (FIG) is one of the nation’s largest Finance and Insurance Marketing Organizations, focusing on expanding financial products and services. They are seeking a Senior Machine Learning/AI Engineer to architect and operationalize intelligent systems, develop machine learning models, and collaborate with cross-functional teams to drive organizational efficiency.
Responsibilities:
• Design, build, and deploy machine learning models and AI systems at scale.
• Develop LLM‑powered applications, including RAG pipelines, agent workflows, and automated decision‑support tools.
• Collaborate with cross‑functional partners to translate business needs into technical AI solutions.
• Work closely with data engineering to ensure strong data availability, quality, and ML readiness.
• Mentor engineers and analysts, guiding best practices in MLOps, model development, and responsible AI.
• Implement monitoring, observability, and model governance frameworks.
• Maintain high standards for security, safety, and compliance aligned with FIG’s AI governance.
• Evaluate new models, tools, and frameworks to continuously expand FIG’s AI capabilities.
• Present recommendations, insights, and solution designs to technical and non‑technical stakeholders.
Qualifications:
Required:
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit‑learn).
• Experience building and deploying machine learning models into production environments.
• Hands‑on experience working with large language models (LLMs), transformers, vector databases, embeddings, and retrieval‑augmented generation (RAG).
• Ability to design end‑to‑end AI pipelines from data ingestion and feature engineering to training, evaluation, deployment, and monitoring.
• Familiarity with prompt engineering, fine‑tuning, and model optimization techniques.
• Experience implementing MLOps workflows and tools (MLflow, Databricks, Weights & Biases, SageMaker, AgentCore or similar).
• Knowledge of agent frameworks (Strands, LangChain, Semantic Kernel, CrewAI, AutoGen).
• Knowledge of cloud technologies (AWS preferred), containerization and orchestration.
• Strong SQL skills and comfort working with modern data platforms (e.g., Snowflake, Redshift, BigQuery, Synapse).
• Experience deploying APIs, microservices, and distributed systems.
• Ability to evaluate model performance, identify failure modes, and optimize for accuracy, fairness, and reliability.
• Strong critical‑thinking skills paired with creativity in designing AI‑driven solutions.
• Experience conducting exploratory analysis, model experimentation, and error analysis.
• Ability to balance technical excellence with practical business impact.
• Ability to translate business needs into scalable AI solutions.
• Experience partnering with cross‑functional teams across engineering, data, operations, and leadership.
• Strong communication skills with the ability to present complex concepts clearly.
• Ability to mentor, guide, and influence teammates and stakeholders.
Preferred:
• Experience in financial services, insurance, wealth management, or other regulated industries.
• Prior involvement in AI governance, responsible AI frameworks, or risk assessments.
• Experience contributing to data governance, metadata management, or model lineage documentation.
• Familiarity with experimentation frameworks, A/B testing, or statistical modeling.
• Working knowledge of reinforcement learning, recommendation systems, or advanced NLP techniques.
Company:
Welcome to Financial Independence Group, or FIG Marketing. Founded in 1976, the company is headquartered in Cornelius, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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