Senior RL Engineer – Remote, Scale & Deploy RL Policies

Bright Vision Technologies; Milpitas (CA); On-site; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking an RL Engineer to design, train, and deploy RL-based systems for high-impact decision-making. The role requires deep familiarity with modern RL algorithms, simulation environments, reward modeling, and scaling training and evaluation.

You will bring research depth and engineering pragmatism to production-ready RL solutions. The ideal candidate has 6+ years in RL research and engineering, strong Python and DL framework skills, and experience shipping RL work.

Qualifications

• Master’s or PhD in CS/ML or related field.
• Six+ years of RL research and engineering experience.
• Strong 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 RL foundations.
• Experience designing and tuning reward functions in non-trivial environments.
• Familiarity with simulation environments and large-scale data 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

• Design, train, and deploy RL-based systems at scale.
• Develop reward models and productionize RL solutions.
• Collaborate across research and engineering to ship impactful RL work.

Skills

Python

Reinforcement Learning

RL Libraries

GPU Training

Communication

Research & Engineering

Education

Masters/PhD in CS/ML

Tools

PyTorch

TensorFlow

Job description

Bright Vision Technologies is seeking an RL Engineer to design, train, and deploy RL-based systems for high-impact decision-making. The role requires deep familiarity with modern RL algorithms, simulation environments, reward modeling, and scaling training and evaluation.

You will bring research depth and engineering pragmatism to production-ready RL solutions. The ideal candidate has 6+ years in RL research and engineering, strong Python and DL framework skills, and experience shipping RL work.