This is a paid 12-week internship opportunity and is a hybrid, in-office role.
We are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks.
Our team is building general-purpose machine learning foundation models for dexterous robot manipulation.
The research conducted on this internship aligns with our broader mission and will focus on one or more areas at the intersection of robot learning and human-robot interaction (HRI).
The intern who joins our team will be encouraged to develop working code prototypes, interact frequently with team members, run experiments with both simulated and real (physical) robots, and participate in publishing the work to peer-reviewed venues.

Requirements

Currently pursuing a degree (Ph.D., M.S.) in Robotics, Computer Science, Mechanical Engineering, or a related field.
Publication record at top-tier robotics/ML conferences (RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, ICCV).
Hardware experience is strongly preferred, especially toward deploying learned policies on real robotic systems.
Experience with machine learning and familiarity with large datasets, models, and benchmarks.
Strong software development skills in Python. Experience in C++ is very useful, but not strictly required.
Experience conducting user studies involving real robot hardware.
A “make it happen” approach and comfortability with fast prototyping and running informative experiments.
Passion for seeing robotics help humans and have a real-world, large-scale impact.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonC++robot manipulationhardware experiencelarge datasetsprototypinguser studiesexperimentation

Soft Skills

team collaborationcommunicationproblem-solvingadaptabilityinitiative