Applied RL Engineer

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

Technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design, train, and deploy reinforcement-learning systems for complex decision-making problems.
• Develop and tune reward functions for non-trivial environments.
• Build and use simulation environments and large-scale experience-collection pipelines.
• Train and evaluate neural-network policies on GPU clusters.
• Move RL solutions from research into production with a focus on stability, safety, and continuous improvement.
• Communicate technical work through impactful shipped systems or research publications.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent applied experience.
• Six or more years of combined reinforcement-learning research and engineering experience.
• Strong proficiency in Python and modern deep-learning frameworks.
• Hands-on experience with a major RL library or an in-house RL stack.
• Strong understanding of probability, optimization, and the theoretical foundations of reinforcement learning.
• U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are eligible; new H-1B visa petitions cannot be sponsored.

Nice to have

• Experience with RLHF for large language models.
• Familiarity with multi-agent or hierarchical reinforcement learning.
• Exposure to robotics, control systems, or autonomous driving.
• Publications in RL research venues or open-source contributions to RL libraries and environments.

Culture & Benefits

• Full-time direct W-2 employment.
• 100% remote work within the United States.
• Opportunity to work on cloud, AI, data, and enterprise technology solutions.
• Career growth opportunities within an established organization.