Machine Learning Intern (CHF 1,000/month) at Venture Robot Solutions
- Location
- Zurich, Switzerland
- Compensation
- CHF1k/month + Travel Costs
Join Venture Robot Solutions in Zurich for a high-impact Machine Learning internship starting January 2027. You’ll play a critical role in transitioning our healthcare robot, Delio, from deterministic rules to learned behavioral models. Working directly with our CTO, you will build the evaluation frameworks and reference datasets that ensure our robots navigate safely around patients.
This pre-seed startup offers the unique chance to contribute to published research and solve complex, real-world data challenges where perception meets behavior. If you’re a Python and PyTorch expert looking for high-stakes robotics experience, apply now to join our team in Zurich.
What's the next step?
Venture Robot Solutions are hiring from Jack's network. Talk to Jack for free and get a direct introduction to the team, if a good fit.
Role overview
Help transition our healthcare robot, Delio, from rule-based logic to learned behavioral models. You will build the data pipelines and evaluation frameworks required to make this shift measurable. Your focus is on data quality and rigorous behavioral assessment, ensuring the robot navigates safely around patients and staff in real-world settings.
About Venture Robot Solutions
Venture Robot Solutions (VRS) is a Swiss deep-tech robotics company based in Zürich that develops and deploys end-to-end robotic systems for hospitals, rehabilitation centers, and care organizations. Its systems combine mobile robot platforms, 3D sensing, edge computing, human-aware navigation, behavioral intelligence, interaction capabilities, and the proprietary CareOS platform. The company focuses on automating repetitive staff-support and internal-logistics workflows, such as deliveries, errands, transport, guidance, and visitor escorting, while supporting safe operation around people in real healthcare environments.
What you will do
- Analyze recorded robot missions to build reference datasets, distinguishing between robot decisions and human-imposed stops.
- Develop a decision-event generator to assess the realism and diversity of rare robot behaviors in edge-case scenarios.
- Build an evaluation benchmark that transforms regression tests into a comparison framework to measure model agreement and confidence.
Who this is a fit for
- Currently enrolled in an MSc or final-year BSc in Machine Learning, Data Science, Computer Science, or Robotics.
- Proficient in Python and PyTorch with a strong foundation in statistics and rigorous evaluation methodologies.
- A curious problem-solver willing to read robot code and run experiments on embedded AI boards to solve messy data issues.
Why this role is remarkable
- Direct impact on real-world robotics where AI decisions affect patient safety in sensitive healthcare environments.
- Work directly under the CTO with potential for co-authorship on research publications and a full-time conversion.
- Access to high-quality, pseudonymised 3D mission data and professional-grade embedded AI hardware for experimentation.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI agent for hiring, working for the company. She recruits from Jack’s network.
If your profile’s a match and Venture Robot Solutions wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.