Robotics Research Engineer, Reality Labs Research

Description

We are seeking a Research Engineer with expertise in software engineering, robotic systems integration, and machine learning to join Reality Labs Research. This role is highly interdisciplinary, involving full-stack development, deployment of control policies, and hands-on work with robotic embodiments and human wearable sensing systems. You’ll collaborate with researchers, engineers, and designers, leveraging cutting-edge technology and facilities.

Responsibilities

Architect Data Capture Systems: Integrate motion capture and novel hardware prototypes for human demonstration data Design Data Processing Pipelines: Build scalable pipelines for large multimodal datasets to enable efficient model training Orchestrate Robotic Systems: Develop and maintain real-time orchestration pipelines, integrating multidisciplinary components Optimize and Debug: Tune runtime performance, debug system behavior, and develop interactive demos and benchmarks Collaborate Cross-Functionally: Work with interdisciplinary teams to refine modules and drive end-to-end system improvements

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years of research or industry experience in perception, machine learning, or robotics 3+ years of full-stack systems engineering experience, including large software systems development and maintenance Experience with prototype/scientific software-hardware systems (robotics platforms, multi-camera systems, human sensing systems) Track record of collaborating and communicating effectively across functions Master’s or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field (or equivalent practical experience) Experience in robotics research, especially dexterous manipulation, robotic policy, and control theory Familiarity with robotics frameworks (e.g., ROS) and real-world robotic control systems Experience designing data collection protocols, developing data pipelines, and building high-quality ML datasets Background in computer vision, imitation learning, reinforcement learning, self-supervised learning, model-predictive control, or other advanced ML/CV techniques

Compensation: $88.46/hour to $257,000/year + bonus + equity + benefits