Senior Reinforcement Learning Engineer — Remote

Bright-Vision-Technologies; United States; Remote; USD 155,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking a Machine Learning Engineer specialized in reinforcement learning to design, train, and deploy RL-based systems for high-impact decision tasks. The role emphasizes moving RL from research into production with a focus on stability, safety, and scalable evaluation.

Remote within the United States, this full-time Direct W2 position requires 6+ years of RL research/engineering, strong Python and DL framework skills, and experience with RL libraries and GPU

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.

Responsibilities

Skills

Python

DL frameworks

RL libraries

GPU clusters

Probability/Optimization

Research experience

Communication

Education

Master’s or PhD in Computer Science/ML

Equivalent applied experience

Tools

Job description

Bright Vision Technologies is seeking a Machine Learning Engineer specialized in reinforcement learning to design, train, and deploy RL-based systems for high-impact decision tasks. The role emphasizes moving RL from research into production with a focus on stability, safety, and scalable evaluation.

Remote within the United States, this full-time Direct W2 position requires 6+ years of RL research/engineering, strong Python and DL framework skills, and experience with RL libraries and GPU