Forward Deployed Researcher - Robot Learning

Accelerating embodied AGI.

The next ten years of AI will not be won in software. They will be won in the physical world: in factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century.

microagi is building it. We are a data research and deployment lab. Atlas captures the manual work inside Europe’s industrial champions, trains foundation models on it, and deploys the right robot onto the floor, with no teleoperation and no interruption to the line. Shift records how physical work actually happens and turns it into training-ready data.

We were founded by former Formula 1 engineers from Red Bull Racing and Mercedes, together with a researcher from the Alan Turing Institute. Our $55M seed round, the largest in German history, was led by Hummingbird with Northzone, LocalGlobe, Village Global, and redalpine. We are based in Munich, with our research centre in Zürich and teams in London, New York, and Istanbul. We are now building the engineering and research teams that will take Atlas into new industries.

You will train and deploy modern neural robotic policies for real customer tasks. This is an early-career role for someone whose strongest experience may come from a university laboratory, thesis, internship, or recent research position.

We care about the depth of your work and your ability to learn quickly, not the number of years on your CV.

What You Will Do

• Train neural policies for manipulation and other embodied tasks using real and simulated data.

• Build data, training, evaluation, and deployment pipelines for robotic policies.

• Run experiments in simulation and transfer successful policies onto real robots.

• Collect demonstrations and deployment data, diagnose failure modes, and improve policies iteratively.

• Evaluate models for robustness, generalisation, latency, and real-world task success.

• Work alongside deployment engineers at customer sites to adapt policies to new environments and workflows.

• Turn research ideas into systems that operate reliably outside the lab.
  

Requirements

• Experience training modern neural-network-based robotic policies through a thesis, university laboratory, internship, research project, or early professional role.

• Familiarity with imitation learning, reinforcement learning, vision-language-action models, or related robot-learning methods.

• Strong Python and hands-on experience with PyTorch, JAX, or an equivalent framework.

• Experience running experiments on real robots or in a robotics simulator.

• Good understanding of machine learning fundamentals and experimental design.

• Evidence of strong technical work, such as a thesis, paper, research project, open-source contribution, or working robotic system.

• Comfortable moving between research code and physical hardware.

• Willingness to travel to deployment sites.
  

Nice to Have

• Experience with manipulation, dexterous control, teleoperation, or whole-body policies.

• Familiarity with Isaac Sim, MuJoCo, ManiSkill, or similar environments.

• Experience with diffusion policies, transformers, multimodal models, or vision-language-action systems.

• Publications or workshop papers in robotics, computer vision, or machine learning.

• Experience collecting or curating robot-training data.

Who Will Thrive at microagi

Everyone we hire is assessed on the same four traits:

• Mission and vision: you care about what we are building and why it matters, and your past choices show it.

• Intensity: you work at a pace that matches the size of the opportunity, and you sustain it.

• Entrepreneurial: you start things nobody asked for, and you finish them.

• Raw IQ: you learn fast, reason from first principles, and get sharper when the problem changes.

This is for you if:

• You would rather own a problem end to end than wait for a spec.

• You use AI every day, and you can tell a correct answer from a plausible one.

• You want to work in person, in the office, with people who are very good at what they do.

This is not for you if:

• You are looking for a predictable 9-to-5.

• You would forward output you cannot explain.

• "That’s not my job" feels like a reasonable answer.

How We Hire

We read every application and reply within five working days.

1. Talent Screen (30 min): a first conversation, both ways.

2. Technical or Functional Interview (60 min): how you think when the problem changes.

3. Your Work (60 min): bring something you are proud of and walk us through it.

4. Leadership (30 min): a conversation with our CEO.

5. Coworking Day (engineering and research roles): a day building with the team on a real problem.

Then a decision, usually within a few days.

Pay Transparency

Compensation includes base salary and equity. The salary range for this role is shown on this posting.

What We Offer

• Agency: real ownership from day one, and decisions that actually matter.

• Freedom: to choose how you solve the problem, without layers of approval.

• A seat on a rocketship: one of Europe’s fastest-growing deep-tech companies, at the earliest stage.

• Free food and drinks in the office.

Equal Opportunity

microagi welcomes applications from everyone. We assess candidates on their work and potential, regardless of ethnic origin, gender, religion or belief, disability, age, or sexual identity.