Reinforcement Learning Engineer

Bright Vision Technologies; Novi (MI); Remote; USD 96,000 - 120,000; Full time

Job summary

Bright Vision Technologies is seeking a Reinforcement Learning Engineer to design, train, and deploy RL‑based systems for high‑impact decision‑making problems where supervised learning 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

Qualifications

• Master's or PhD in Computer Science, ML, or related field, or equivalent experience.
• 6+ years of RL research and engineering experience.
• Strong proficiency in Python and modern deep learning frameworks.

Responsibilities

• Design, train, and deploy RL-based systems for high-impact decision problems.
• Develop reward models and scalable evaluation pipelines for policy learning.
• Bridge research and production to ensure stability and ongoing improvement.

Skills

Reinforcement Learning

Python

Deep Learning

RL libraries

GPU training

Reward modeling

Communication skills

Education

Masters or PhD in CS/ML or related field

Tools

RL libraries

GPU clusters

Job description

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: 6+ 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.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.