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The AI Residency is a fixed‑term role (3–6 months) in which you will contribute to critical AI and robotics projects alongside full‑time team members. You will build full‑stack infrastructure for simulation, data management, and learning, apply research‑level ideas in production settings, and help ship capabilities to robots deployed in the field. Residents tackle projects with the same scope and difficulty as those worked on by full‑time employees.
Job Responsibility:
Bring cutting‑edge ideas from the AI and robotics research community into product applications and scale them using the robot fleet’s data
Build evaluations that benchmark open‑source models on tasks useful to 1X
Build the “data engine” (frontend UI and backend) to review logs, clean data, and perform labeling
Ship new capabilities to robots deployed at customer sites
Requirements:
Bachelor’s degree in Computer Science or equivalent
graduate‑level students in ML or robotics preferred (exceptional applicants will be considered)
Proficiency with large codebases in Python, including writing tests
Ability to rapidly prototype ideas independently
Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
Nice to have:
Fast thinker and learner
Highly independent code contributor
Ability to do world‑class ML research and also work on infrastructure and operational scaling
Experience with systems programming
Experience training large‑scale ML models (visual foundation models, large language models, generative models) or published research in top ML conferences
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