Reinforcement Learning Engineer (AI)

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and implement reinforcement learning solutions for sequential decision-making in real and simulated environments.
• Develop, calibrate, and maintain simulation environments and scalable experience-collection infrastructure for large-scale agent training.
• Implement and evaluate policy-gradient, actor-critic, off-policy, offline RL, imitation learning, RLHF, and DPO techniques.
• Engineer reward functions, shaping strategies, constraint enforcement, conservative policies, and human-in-the-loop safety mechanisms.
• Optimize training stability and sample efficiency, and build rigorous out-of-distribution and adversarial evaluation protocols.
• Monitor production models for drift, regression, and unintended behavior while collaborating with applied scientists and product teams.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent applied experience.
• At least six years of combined reinforcement learning research and engineering experience; the posting also lists 10+ years of overall experience.
• Strong proficiency in Python and modern deep learning frameworks.
• Hands-on experience with a major reinforcement learning library or in-house RL stack, simulation environments, and large-scale experience collection.
• Experience training neural network policies on GPU clusters and designing non-trivial reward functions.
• Strong knowledge of probability, optimization, RL theory, communication, and production or published RL work.

Nice to have

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

Culture & Benefits

• Full-time direct W-2 employment.
• Remote work within the United States.
• Career growth opportunities within an established technology organization.
• U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates may apply; new H-1B visa petitions cannot be sponsored.