Senior Reinforcement Learning Engineer - Remote

Bright Vision Technologies; Andover (MA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Remote work

Equal Opportunity Employer

Job summary

Bright Vision Technologies is seeking a Reinforcement Learning Engineer to design and implement RL solutions for sequential decision tasks in both real and simulated environments. You will build scalable training infrastructure and evaluate modern RL algorithms to push production-ready models.

The role emphasizes developing robust reward functions, applying offline RL and imitation learning, and collaborating with product teams to deliver impactful AI capabilities. 100% remote within the U.S.

Qualifications

• Master’s or PhD in Computer Science, ML, or related field.
• Six+ years of RL research and engineering experience.
• Strong Python and modern deep learning framework proficiency.
• Hands-on experience with at least one major RL library or in-house RL stack.
• Solid understanding of probability, optimization, and RL theory.
• Experience designing reward functions for complex environments.
• Experience training neural policies on GPU clusters.

Responsibilities

• Design and implement reinforcement learning solutions for sequential decision problems in real and simulated environments.
• Develop, calibrate, and maintain simulation environments for large-scale agent training.
• Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL.
• Engineer reward functions and shaping strategies aligning behavior with outcomes and safety constraints.
• Apply offline RL and imitation learning to reduce costly/exploratory data collection.
• Use RLHF, DPO and related methods to fine-tune large language models when relevant.
• Build scalable training infrastructure for distributed RL, including experience collection and replay systems.
• Improve training stability and sample efficiency through algorithmic and engineering improvements.

Skills

Python

Deep learning

Reinforcement Learning

RL libraries

GPU clusters

Education

Master’s or PhD in Computer Science / ML or related field

Tools

RL Library

In-house RL stack

Job description

Bright Vision Technologies is seeking a Reinforcement Learning Engineer to design and implement RL solutions for sequential decision tasks in both real and simulated environments. You will build scalable training infrastructure and evaluate modern RL algorithms to push production-ready models.

The role emphasizes developing robust reward functions, applying offline RL and imitation learning, and collaborating with product teams to deliver impactful AI capabilities. 100% remote within the U.S.