Member of Technical Staff, World Models

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

• Train action-conditioned world models on camera and sensor data.
• Use model rollouts for planning and post-training reference policies.
• Find where model predictions differ from the real stations, and why.

What we hope you’ll bring

• Experience training world models, video prediction, or latent dynamics models on real data.
• Knowledge of model-based reinforcement learning, planning, and sequence modelling.
• Publications in top machine learning or robotics venues, or equivalent experience.

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

Details

• Location: Zurich, Switzerland, on-site 5 days a week.
• Total compensation: CHF 120,000 - 160,000.
• 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.