Senior Applied RL Engineer — Remote

Bright Vision Technologies; Tampa (FL); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are seeking an Applied RL Engineer for remote work in the United States to design, train, and deploy RL-based systems at scale.

Ideal candidates will have 6+ years of RL experience, strong Python proficiency, and a track record of shipping RL projects.

Qualifications

• Master’s or PhD in Computer Science, ML, or related field, or equivalent applied experience.
• Six or more years of 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 RL theory.
• 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

• Design and implement reinforcement learning solutions for sequential decision-making.
• Develop, calibrate, and maintain simulation environments.
• Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods.
• Engineer reward functions and shaping strategies aligned with safety.
• Apply offline RL and imitation learning where exploration is costly or unsafe.
• Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant.
• Build scalable training infrastructure for distributed RL.
• Optimize training stability and sample efficiency.
• Design evaluation protocols including out-of-distribution tests.
• Implement safety mechanisms such as constraint enforcement and conservative policies.
• Collaborate with applied scientists and product teams to identify high-value RL use cases.
• Monitor deployed policies and models in production for drift and anomalies; build dashboards.
• Document methodology and decisions for internal stakeholders.
• Stay current with RL research and translate promising techniques into production-ready solutions.

Skills

Reinforcement Learning

Python

Deep learning frameworks

RL libraries

Probability & optimization

Policy training

Communication skills

Shipping/publishing RL work

GPU clusters

Distributed training

Education

Master's or PhD in CS/ML

Equivalent applied experience

Tools

RL Library

In-house RL stack

GPU clusters

Distributed training

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are seeking an Applied RL Engineer for remote work in the United States to design, train, and deploy RL-based systems at scale.

Ideal candidates will have 6+ years of RL experience, strong Python proficiency, and a track record of shipping RL projects.