
Technical Associate I
Massachusetts Institute of Technology
Cambridge, MAFull-time$50–63K/yrSeen 4 days agoSeen in employer's feed 4 days ago
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Job overview
The Technical Associate I supports an active MIT research program in immersive teleoperation and learned manipulation, building VR‑based teleoperation infrastructure, curating robot demonstration datasets, and assisting in training, deploying, and evaluating vision‑language‑action policies on multi‑arm manipulation platforms.
Skills & qualifications
Skills
Qualifications
Full job description
Technical Associate I
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Job Number: 26124
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Functional Area: Research - Other
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Department: Comp Sci & Artificial Intelligence Lab
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School Area: Schwarzman College of Computing
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Pay Range Minimum: $50,000
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Pay Range Maximum: $63,000
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Employment Type: Full-Time
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Employment Category: Exempt
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Visa Sponsorship Available: No
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Schedule:
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Pay Grade: No Grade
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Posting Description
TECHNICAL ASSOCIATE I, Comp Sci & Artificial Intelligence Lab, works support an active research program at the intersection of immersive teleoperation and learned manipulation policies, with a focus on robot legibility, making learned robot behavior interpretable and predictable to the humans working alongside it. The Technical Associate will build and maintain the lab's VR-based teleoperation and data-collection infrastructure, support the collection and curation of robot demonstration datasets, and assist in training, deploying, and evaluating vision-language-action (VLA) policies on physical multi-arm and dexterous manipulation platforms. This is a hands-on research engineering role with substantial intellectual scope: the person in this position will contribute to experimental design and to publications, not only to system maintenance.
The full job description is available, here: https://www.dropbox.com/scl/fi/j7o8p3ws4wqo3b2llzqed/Technical-Associate-1-sept..-2026-Bobu.docx?rlkey=mioxm2nt7qju2fh1q269qnf5t&st=j522isjy&dl=0
Job Requirements
REQUIRED: Bachelor's degree in computer science, robotics, electrical engineering, mechanical engineering, or a related field, or equivalent practical experience; strong programming ability in Python; demonstrated hands-on experience with physical robot systems including at least one of: manipulator control, teleoperation, motion planning, or robot hardware integration; working knowledge of ROS or ROS 2; practical experience training and evaluating deep learning models in PyTorch; demonstrated ability to debug across the full stack: hardware, drivers, middleware, and learning code; and ability to work independently on open-ended problems, and to communicate technical findings clearly in writing and in discussion.
This position is well suited to someone with a bachelor's or master's degree who intends to pursue graduate study in robotics and wants a period of deep, full-time research experience beforehand.
This is a 1-year funded position, with possibility of extension.
10/5/2026
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