Reinforcement Learning Engineer

About the role

Reinforcement Learning Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Reinforcement Learning Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $96,000–$120,000 Annually

Experience Required: 8+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are looking for a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.

Required Qualifications

Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.

Six or more years of combined RL research and engineering experience.

Strong proficiency in Python and modern deep learning frameworks.

Hands-on experience with at least one major RL library or in-house RL stack.

Solid understanding of probability, optimization, and the theoretical foundations of RL.

Experience designing and tuning reward functions in non-trivial environments.

Familiarity with simulation environments and large-scale experience collection.

Experience training neural network policies on GPU clusters.

Strong written and verbal communication skills.

Track record of shipping or publishing impactful RL work.

Preferred Qualifications

Experience with RLHF for large language models.

Familiarity with multi-agent RL or hierarchical RL.

Exposure to robotics, control systems, or autonomous driving.

Publications in RL or related research venues.

Open-source contributions to RL libraries or environments.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com.

Bright Vision Technologies is an Equal Opportunity Employer.

Posting text as published by Brightvisiontechnologies.

The evidence behind this listing

Workplace

Remote Matched in posting text

Seniority

Not established

Employment type

full time

Location as listed

Hoffman Estates, IL, United States

Pay and work authorization

Stated pay

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Visa sponsorship

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Security clearance

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