Applied RL 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, train, evaluate, and deploy reinforcement learning systems for sequential decision-making in real and simulated environments.
• Develop and maintain simulation environments, reward functions, shaping strategies, and large-scale experience collection systems.
• Implement modern policy-gradient, actor-critic, off-policy, offline RL, imitation learning, RLHF, and DPO techniques.
• Build distributed RL training infrastructure, including scalable replay systems and GPU-based policy training.
• Improve training stability, sample efficiency, policy safety, and production reliability through constraints, conservative policies, and human oversight.
• Monitor deployed models for drift, regressions, and unintended behavior while building evaluations, alerts, dashboards, and technical documentation.

Requirements

• Must be based in the United States; the role is fully remote.
• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent applied experience.
• 6+ years of combined reinforcement learning research and engineering experience.
• Strong Python skills, modern deep learning framework experience, and hands-on experience with an RL library or in-house RL stack.
• Strong understanding of probability, optimization, RL theory, reward design, simulation environments, and large-scale experience collection.
• Experience training neural network policies on GPU clusters and shipping or publishing impactful 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 RL-related research venues or open-source contributions to RL libraries and environments.

Culture & Benefits

• Full-time direct W-2 employment.
• Career growth opportunities within an established technology consulting and software development organization.
• Work remotely within the United States.
• U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.
• New H-1B visa petitions are not sponsored for this position.