Remote RL Engineer: Scale & Deploy Intelligent Policies

Bright Vision Technologies; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking a RL Engineer to design, train, and deploy RL-based systems for decision-making problems at scale. This remote position is US-based and direct W2, offering competitive compensation.

The ideal candidate has 6+ years of RL research and engineering experience, strong Python skills, experience with RL libraries, and a track record of shipping RL work. Sponsorship is limited to certain visa holders.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, or 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.

Skills

Python programming

Reinforcement learning

RL libraries

Communication skills

Research experience

GPU training

Education

Master’s or PhD in Computer Science / ML

Tools

RL library

Job description

Bright Vision Technologies is seeking a RL Engineer to design, train, and deploy RL-based systems for decision-making problems at scale. This remote position is US-based and direct W2, offering competitive compensation.

The ideal candidate has 6+ years of RL research and engineering experience, strong Python skills, experience with RL libraries, and a track record of shipping RL work. Sponsorship is limited to certain visa holders.