AI Systems & Robotics Internship - Build Real-World Models

Veeda AI; California; Hybride; USD 34 000 - 55 000; Temps partiel

Résumé du poste

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We are a small, fast-moving team of engineers and researchers tackling challenges at the intersection of AI, robotics, and embodied intelligence.

You will own one scoped project in areas like ML Performance, AI Infrastructure, or World Models, with a mentor and a concrete deliverable in week one. You work on real systems, not sandbox experiments, and ship an artifact the team can reuse.

Qualifications

• Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field.
• Real depth in machine learning fundamentals (optimization, generalization, architectures) or in systems fundamentals (operating systems, networking, parallel computing).
• Fluent Python and built/debugged a non-trivial system end to end.
• Ability to name one of our seven areas and sketch concretely what you would build or measure there.

Responsabilités

• Own one scoped project in ML Performance, AI Infrastructure, ML Operations, Data, Robotics, Simulation, or World Models with a mentor and deliverable in week one.
• Representative Projects: profile regression steps, add a task to an Isaac Lab environment, build a deduplication pass in Ray Data, measure drift in a world-model rollout.
• Work in the same repositories and data as the rest of the staff, not a sandbox.
• Ship an artifact the team keeps using and document what you found and what to try next.

Connaissances

ML fundamentals

Systems fundamentals

Python programming

End-to-end system

Formation

Bachelor's degree or equivalent

Outils

CUDA

Triton

MuJoCo

Newton

Description du poste

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We are a small, fast-moving team of engineers and researchers tackling challenges at the intersection of AI, robotics, and embodied intelligence.

You will own one scoped project in areas like ML Performance, AI Infrastructure, or World Models, with a mentor and a concrete deliverable in week one. You work on real systems, not sandbox experiments, and ship an artifact the team can reuse.