Spontaneous Application

About Baseline

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 compute. For a given task, policies are evaluated under similar conditions, giving researchers common ground for fair comparisons.

In this role you will

• Work on real-robot evaluation and post-training, from learning methods to scoring infrastructure.
• Choose a layer: world models, reinforcement learning, control, data, or tooling.
• Shape the role around individual strengths, with the scope defined together.
• Close the loop from a policy run on real hardware back to the next training signal.

What we hope you'll bring

• Experience publishing research or building systems in robotics, machine learning, or infrastructure.
• Experience taking a project from an idea to a measurable result on real hardware.
• Care for measurement and reproducibility.

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