microagi · AI infrastructure

Forward Deployed Researcher (Robot Learning)

  • Zurich (On‑site), +1 more: Munich
  • Full-time

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Forward Deployed Researcher (Robot Learning)

microagi

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What you'll do

As written by microagi · Read the original

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.

Skills

Stack

  • Python
  • PyTorch
  • JAX

Working languages

English

Salary & benefits

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.

Company

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