Member of Technical Staff, World Models

Baseline Robotics; Zürich; On-site; CHF 120,000 - 160,000; Full time

Benefits offered by this job

Stock options

Job summary

Baseline Robotics in Zurich, Switzerland, is hiring for a research-focused role to advance world models in robotics. You will train action-conditioned models on camera and sensor data and use model rollouts to inform planning and reference policies.

Stock options are included as part of the total compensation, and the role emphasizes publishing in top ML or robotics venues or equivalent experience. This is a full-time, on-site position at our Zurich location.

Qualifications

• 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.

Responsibilities

• 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.

Skills

World models training

Video prediction

Latent dynamics models

Model-based reinforcement learning

Planning

Sequence modelling

Job description

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.

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.