Research Engineer, Reinforcement Learning

Webflow

full-time

Posted on: 9/16/2025

Origin: • 🇺🇸 United States • California

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💰 $180,000 - $300,000 per year

Mid-LevelSenior

LinuxPythonPyTorch

About the role

Full-stack engineering, from data engineering to model architecture design to shipping polished products
Train NEO to do a diverse set of manipulation and locomotion tasks.
Work with hardware teams to the sim2real gap between policies trained in simulation and real.
Work with controls, QA, and data collection teams to ship RL policies to the production fleet.
Deploy skills trained with RL into home environments.

4+ years of Python programming experience.
Fundamental knowledge of at least one low-level programming language such as C++.
Good understanding of robotics fundamentals such as computer vision, kinematics & dynamics, and planning.
Strong empirical research abilities and a keen eye for spotting performance bottlenecks in RL training.
Experience with authoring environments and benchmarks in simulators like Mujoco, Pybullet, or Isaac Sim.
Advanced degree (MS or PhD) in Computer Science or related field (ideal).
Published RL research in top ML conferences (NeurIPS, CoRL, RSS, ICML, etc.) (ideal).
Have trained real-world quadruped or biped locomotion with RL (ideal).
Experience working with large, cross-team codebases (ideal).
Control theory and/or signal processing knowledge (ideal).