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$122k–$181k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity
Posted 53d ago
~40 hrs/week
Responsibilities
Conduct collaborative research to develop control algorithms and model predictive control approaches for various robotics platforms. Create robotic data collection sets and evaluations to advance dexterous manipulation.
Requirements
Requires a degree in Engineering or Computer Science with experience in both traditional reflexive and modern predictive controllers. Candidates must have a track record of publications in top robotics, machine learning, or computer vision conferences.
Full job description
We are seeking a robotic controls researcher to work with a collaborative team within Meta’s Reality Lab Research. This team is leveraging recent advances in robot embodiments, tools for data collection, and modern control policies, to advance robotic dexterous manipulation. The chosen candidate will work with a highly interdisciplinary team of researchers, engineers, and designers, and will have access to advanced technology, resources, and testing facilities.
Responsibilities
Conducting collaborative research on developing control algorithms for a wide range of robotics platforms
Development of model predictive control approaches mapping robot observations and target references to low-level actuation control signals
Development of robotic data collection sets and evaluations
Minimum Qualifications
Bachelor's degree in Mechanical Engineering, Electrical Engineering, Control Systems Engineering, Computer Science, or in a relevant technical field, or equivalent practical experience
Experience with both traditional reflexive controllers (PID, LQR, OSC) and modern predictive controllers (MPCs)
Experience with generative AI models such as transformers, LLMs, VLMs, VLAs, and diffusion models
A track record of research contributions with your work published in top conferences and journals such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI)
Preferred Qualifications
Ph.D. in Mechanical Engineering, Electrical Engineering, Control Systems Engineering, Computer Science, or relevant degree and 5+ years experience in robotic control systems
2+ years experience with both traditional reflexive controllers (PID, LQR, OSC) and modern predictive controllers (MPCs)
Experience with physical systems, including interfacing with novel sensors and actuators
Experience working with robot manipulation
Experience with robotic data collection for training autonomous control policy models
$122,000/year to $181,000/year + bonus + equity + benefits
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Based on 1059 listings with disclosed salaries, most software jobs in Redmond, WA pay between $120k–$285k per year. Individual offers vary with seniority, company size, and specialization.
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