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.
Robotics Research Engineer, Reality Labs Research 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
Minimum 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
Preferred Qualifications:
- 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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$88.46/hour to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
