Senior Applied RL Engineer - Remote, Production-Ready ML

Bright Vision Technologies; Orlando (FL); À distance; USD 100 000 - 150 000; Plein temps

Résumé du poste

Bright Vision Technologies is seeking an Applied RL Engineer to design, train, and deploy reinforcement learning systems for high‑impact decision-making problems. The role requires deep familiarity with modern RL algorithms, simulation environments, reward modeling, and engineering pipelines capable of training and evaluating policies at scale.

The ideal candidate combines research depth with engineering pragmatism and will bring RL solutions from lab to production where stability, safety, and

Qualifications

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

Responsabilités

• Design reinforcement learning systems for high-impact decision tasks.
• Train RL models and evaluate performance at scale.
• Deploy RL solutions into production with focus on stability and safety.
• Model reward structures and optimize learning signals.
• Collaborate with teams to integrate RL into end-to-end pipelines.

Connaissances

Python

Deep Learning

Reinforcement Learning

RL Libraries

GPU Clusters

Reward Modeling

Simulation Environments

Research Experience

Communication

Publications

Formation

Master's or PhD in CS/ML or related field

Equivalent applied experience

Outils

RL Library

In-house RL Stack

Description du poste

Bright Vision Technologies is seeking an Applied RL Engineer to design, train, and deploy reinforcement learning systems for high‑impact decision-making problems. The role requires deep familiarity with modern RL algorithms, simulation environments, reward modeling, and engineering pipelines capable of training and evaluating policies at scale.

The ideal candidate combines research depth with engineering pragmatism and will bring RL solutions from lab to production where stability, safety, and