AI Systems & Robotics Intern — Hybrid, Impactful Projects

Veeda AI; Zürich; Hybrid; CHF 17,000 - 28,000; Full time

Job summary

Veeda AI in Zürich offers a hybrid internship with exposure to cutting-edge multimodal world models and Physical AI. You will own a scoped project within ML Performance, AI Infrastructure, ML Operations, Data, Robotics, Simulation, or World Models, guided by a mentor, and deliver a tangible artifact the team can reuse.

Ideal candidates have a Bachelor's or equivalent, strong Python and ML fundamentals, and the ability to work in real systems rather than toy environments.

Qualifications

• You have a Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field, or you are currently working toward one.
• You have real depth in machine learning fundamentals (optimization, generalization, architectures) or in systems fundamentals (operating systems, networking, parallel computing).
• You program fluently in Python and have built and debugged a non-trivial system end to end, on your own.
• You can name which of our seven areas you want to work in and sketch, concretely, what you would try to build or measure there.
• Nice-to-haves: scalable data pipelines, training infrastructure, or simulation tooling are a plus.
• Nice-to-haves: publications or contributions to research on generative models or robot learning.

Responsibilities

• Own one scoped project in a single area — ML Performance, AI Infrastructure, ML Operations, Data, Robotics, Simulation, or World Models — with a mentor and a deliverable agreed in week one.
• Representative Projects: Profile a step-time regression in a Megatron-Core run, add a task to an Isaac Lab environment suite, build a deduplication pass in Ray Data, or measure drift in a world-model rollout.
• Real Systems, Not a Sandbox: Work in the same repositories, on the same clusters, and against the same data as the rest of the technical staff, not a parallel toy version.
• A Deliverable That Outlives You: Ship one artifact the team keeps using — a dataset, a benchmark, an evaluation, or a tool — and write up what you found and what to try next.

Skills

Python

ML Fundamentals

Systems Fundamentals

Big-picture Thinking

Education

Bachelor's degree or equivalent

Tools

CUDA

Triton

MuJoCo

Ray Data

Job description

Veeda AI in Zürich offers a hybrid internship with exposure to cutting-edge multimodal world models and Physical AI. You will own a scoped project within ML Performance, AI Infrastructure, ML Operations, Data, Robotics, Simulation, or World Models, guided by a mentor, and deliver a tangible artifact the team can reuse.

Ideal candidates have a Bachelor's or equivalent, strong Python and ML fundamentals, and the ability to work in real systems rather than toy environments.