Spontaneous Application Full-time, internship, or working student inquiry

Baseline Robotics; Zürich; Hybrid; CHF 34,000 - 48,000; Part time

Job summary

Baseline Robotics in Zürich is seeking paid working students to advance robotics research on our shared hardware platform. Describe your research interests, projects, and weekly availability of up to 15 hours during the semester.

You will evaluate and post-train robot policies on physical hardware, select an area such as world models, reinforcement learning, control, data, or tooling, and define the scope of the role with our team based on your strengths.

Qualifications

• Experience publishing research or building systems in robotics, machine learning, or infrastructure.
• Experience taking a project to a measured result on real hardware.
• Experience running reproducible experiments.

Responsibilities

• Evaluate and post-train robot policies on physical hardware.
• Pick an area such as world models, reinforcement learning, control, data, or tooling.
• Agree the scope of the role with us, based on what you do best.

Skills

Robotics

Machine Learning

Experimentation

Job description

Open source revolutionised how we write software, but its impact on robotics stays limited due to expensive hardware accessible only to well-funded labs. We run that hardware as shared infrastructure for the broader community, billed only for active station time. For a given task, policies are evaluated under similar conditions, giving researchers common ground for fair comparisons.

About the role

We welcome inquiries from ETH Zurich students interested in paid working student opportunities in robotics. Use this spontaneous application to describe your research interests, relevant project work, and weekly availability of up to 15 hours during the semester. We assess each inquiry individually and agree on any role’s scope, schedule, and pay before employment begins.

• Evaluate and post-train robot policies on physical hardware.
• Pick an area such as world models, reinforcement learning, control, data, or tooling.
• Agree the scope of the role with us, based on what you do best.

What we hope you’ll bring

• Experience publishing research or building systems in robotics, machine learning, or infrastructure.
• Experience taking a project to a measured result on real hardware.
• Experience running reproducible experiments.

We encourage you to apply even if you do not believe you meet every qualification.