Robotics Research Engineer, Reality Labs Research

Meta•Redmond, WA

7d•$88 - $257,000

About The Position

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.

Requirements

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

Nice To Haves

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

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