Research Scientist, RL & Simulation (Robotics)

Location: New York, on-site

Salary: $200,000–$250,000 per year plus equity

Company

hirify.global is building the data infrastructure layer for robotics and embodied AI, delivering real-world datasets for training, evaluating, and deploying robotic systems.

What you will do

• Build and maintain robotics simulation environments using platforms such as Isaac Sim, Isaac Gym, MuJoCo, Genesis, Habitat, and ManiSkill.
• Prioritize environments and assets to maximize learning velocity.
• Convert human demonstrations into robot-executable trajectories using IK-based, optimization-based, and learning-based retargeting.
• Train policies with imitation learning and reinforcement learning, including Behavior Cloning, DAgGER-style aggregation, Offline RL, PPO, and SAC.
• Define success metrics, stress tests, generalization evaluations, and regression tracking.
• Drive sim-to-real transfer through domain randomization, system identification, contact modeling, real-data analysis, and failure-mode investigation.

Requirements

• MSc, PhD, or equivalent research experience in robotics, machine learning, or a related field.
• Strong hands-on experience with robot simulation and policy learning.
• Proficiency in Python and disciplined engineering practices, including reproducible experiments, clean code, and debugging.
• Ability to work end-to-end across environments, data, training, and evaluation.
• Research Scientist applicants should apply to only one research role.

Nice to have

• Experience with manipulation, dexterous hands, or locomotion.
• Experience with retargeting, inverse kinematics, trajectory optimization, or differentiable simulation.
• Strong intuition for the factors that determine sim-to-real success or failure.

Culture & Benefits

• High ownership and fast iteration.
• Direct connection to real-world robotics datasets and execution.
• Equity included in the compensation package.