Remote RL Engineer - Scale RL in Production

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

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