Reinforcement Learning Engineer (Robotics)

Location: Austin, TX, United States

Company

hirify.global develops AI-powered humanoid robots, including Apollo, for manufacturing, logistics, healthcare, home, and other applications.

What you will do

• Implement and deploy reinforcement learning algorithms for dynamic locomotion and manipulation on physical humanoid robots.
• Develop the full policy lifecycle from simulation prototyping through transfer and fine-tuning on hardware.
• Optimize scalable, high-throughput simulation and distributed reinforcement learning training infrastructure.
• Build motion retargeting pipelines that convert motion capture and teleoperation data into reference trajectories.
• Collaborate with robotics, hardware, and controls engineers to diagnose system-level issues and enable complex learned behaviors.
• Analyze hardware results and present findings to guide technical direction.

Requirements

• 3+ years of hands-on experience with reinforcement learning frameworks such as PyTorch or JAX and physics simulators such as MuJoCo or IsaacGym.
• Expertise in Python and strong proficiency in C++ for performant, deployable code.
• Experience building or using large-scale distributed training pipelines and optimizing them for faster iteration.
• Deep understanding of reinforcement learning, including imitation learning, model-based reinforcement learning, and sim-to-real transfer.
• Strong knowledge of robot dynamics and controls theory, with experience deploying learning-based policies on physical robotic systems.
• PhD in Computer Science, Robotics, or a related field, or an MS in a similar field with 2+ years of industry experience; experience mentoring engineers is required.

Nice to have

• Experience with legged robots or robotic manipulators.
• Strong publication record in conferences or journals such as CoRL, RSS, or ICRA.

Culture & Benefits

• Direct-hire employment.
• Collaborative, high-velocity, ego-free engineering culture.
• Close collaboration across software, hardware, robotics, and controls disciplines.
• Work includes prolonged periods at a desk and on a computer, with visual, hearing, and speech requirements for communication.