Senior Reinforcement Learning Engineer — Remote

Bright Vision Technologies; Ann Arbor (MI); On-site; 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 where supervised learning falls short. The role requires deep familiarity with modern RL algorithms, simulation environments, reward modeling, and scaling policy training across GPU clusters, with a focus on production stability and continual improvement.

Candidates should have 8+ years of experience, a strong track record of shipping RL work, and

Qualifications

• Master’s or PhD in CS/ML or related field.
• Six+ years of RL research and engineering experience.
• Proficiency in Python and modern deep learning frameworks.
• Experience with RL libraries and experimentation at scale.
• Strong math: probability and optimization for RL.
• Experience training neural policies on GPU clusters.
• Excellent written and verbal communication skills.
• Track record of shipping RL work.

Responsibilities

• Design, train, and deploy RL-based systems for high-impact decision-making problems.
• Scale training and evaluation of policies across environments and datasets.
• Bridge research and production to ensure stability and ongoing improvement.
• Collaborate with data, software, and product teams to deploy RL solutions.

Skills

Python

Deep learning

Reinforcement Learning

RL experimentation

Research depth

Production deployment

Communication

Education

Master’s or PhD in CS/ML or related field

Job description

Bright Vision Technologies is seeking a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high‑impact decision making where supervised learning falls short. The role requires deep familiarity with modern RL algorithms, simulation environments, reward modeling, and scaling policy training across GPU clusters, with a focus on production stability and continual improvement.

Candidates should have 8+ years of experience, a strong track record of shipping RL work, and