About Baseline Robotics
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.
In this role you will
- Improve policies on the robots with post-training and reinforcement learning.
- Design reward models from vision, language, and operator feedback.
- Stop or recover trials with safety constraints before the hardware is damaged.
What we hope you’ll bring
- Experience training reinforcement-learning systems in robotics, simulation, games, or agents.
- Knowledge of modern policy-gradient and value-based reinforcement learning methods.
- Publications in top machine learning or robotics venues, or equivalent experience.
Details
- Location: Zurich, Switzerland, on-site 5 days a week.
- Total compensation: CHF 120,000 - 145,000.
- Every full-time hire receives stock options as part of the stated total compensation.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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