microagi · AI infrastructure
Forward Deployed Researcher (Robot Learning)
- Zurich (On‑site), +1 more: Munich
- Full-time
AI roleMachine LearningTrains models
Still open on microagi's site · checked just now
- Posted
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
Last checked . The details above were extracted automatically; the employer's original posting is the authority.