Remote Reinforcement Learning Engineer — Scale & Deploy

Bright-Vision-Technologies; United States; 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 at scale. The role emphasizes production-ready RL, reward modeling, and safety considerations in high-impact decisions.

The ideal candidate will have 8+ years of RL research and engineering, deep expertise in Python and modern DL frameworks, and proven experience shipping RL work. This remote US-based position offers competitive compensation.

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.
• Experience with GPU clusters and large-scale RL training.
• Experience designing reward functions in complex environments.

Skills

Reinforcement learning

Python

Deep learning

RL libraries

GPU training

Research & publishing

Communication skills

Probability & optimization

Education

Master’s or PhD in CS/ML or related

Tools

RL library or in-house RL stack

Job description

Bright Vision Technologies is seeking a Reinforcement Learning Engineer to design, train, and deploy RL-based systems at scale. The role emphasizes production-ready RL, reward modeling, and safety considerations in high-impact decisions.

The ideal candidate will have 8+ years of RL research and engineering, deep expertise in Python and modern DL frameworks, and proven experience shipping RL work. This remote US-based position offers competitive compensation.