Senior ML Research Engineer (m/w/d) Robotics

Agile Robots SE; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A high-tech robotics firm in Munich is looking for ML engineers with strong experience in robotics-adjacent domains. Candidates should have proficiency in building machine-learning systems end-to-end, focused on real-world applications. The position offers dynamic work environments and continuous development opportunities. Ideal applicants should have a solid understanding of Python and experience with complex datasets. The role involves collaborating across various AI and Robotics teams to create impactful projects.

Leistungen

Corporate Benefits Program

Modern office facilities

Collaborative work environment

Qualifikationen

• Experience in video modelling, generative models, or RL.
• Ability to write clean, modular Python and build ML systems end-to-end.
• Experience with noisy, multimodal or large-scale datasets.
• Ability to debug and scale ML systems.
• Hands-on experience with training pipelines.

Aufgaben

• Build ML components across various pathways.
• Work with real datasets and ML pipelines for robotic platforms.
• Test models in realistic environments and refine them.
• Collaborate with teams across modelling and data systems.

Kenntnisse

Deep ML experience

Strong software engineering ability

Real-world ML mindset

Engineering maturity

PyTorch expertise

Tools

Python

PyTorch

Simulation platforms

Jobbeschreibung

Permanent employee, Full-time · Germany, Munich (HQ)

About the role

Our AI teams are looking for ML engineers with strong experience in robotics-adjacent domains such as (simulation research, generative modelling, or multimodal ML) and who can build machine-learning systems end-to-end, not just train models. You don’t need a robotics background, but you do need solid engineering instincts, clean Python, and the ability to work with complex, noisy, real-world data.
This posting serves as a broader entry point to several AI & Robotics teams. After we evaluate your background, we’ll match you with the specific role and team where your skills have the most impact. The team assignment happens during the interview process.

Your Responsibilities

(Your exact scope depends on your background and team alignment.)

• Model development: Build ML components across perception, prediction, or policy pathways (e.g., video models, multimodal encoders, world models, diffusion/transformer architectures).
• Systems integration: Work with real datasets, real-time constraints, and ML pipelines that must operate reliably on embodied robotic platforms.
• Multimodal data: Work with inputs such as video, teleoperation actions, proprioception, tactile signals, or simulation-generated sequences.
• Evaluation & iteration: Test models in realistic environments, analyze failure modes, and refine for stability, drift, latency, and robustness.
• Cross-disciplinary collaboration: Partner with teams focusing on modelling, robotics, teleoperation, simulation, and data systems—depending on the final role you land in.

Qualifications

• Deep ML experience in video modelling, generative models, sequence modelling, world models, RL, or simulation-based learning.
• Strong software engineering ability: writing clean, modular Python and building ML systems end-to-end — including implementing architectures, training loops, and data pipelines from scratch.
• Real-world ML mindset: experience with noisy, multimodal, temporal, or large-scale datasets (not just clean academic examples).
• Engineering maturity: ability to debug, profile, optimize, and scale ML systems beyond prototype level.
• PyTorch expertise: hands‑on experience with training pipelines, distributed workloads, or deployment workflows.

Beneficial Skills

• Multimodal intuition: combining signals such as vision, pose, audio, force/tactile, or simulation state.
• Systems sense: familiarity with streaming architectures, real-time constraints, microservices, or serialization formats (e.g., Protobuf / MCAP).
• Embodied‑AI curiosity: interest in teleoperation interfaces, robot interaction, or real-world control dynamics.
• Simulation experience: knowledge of Isaac Sim, MuJoCo, Unity, Unreal, or related simulation platforms.

What we offer

• Dynamic high‑tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Lots of development opportunities in the context of our continued growth.
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.

Agile Robots SE is an international high‑tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state‑of‑the‑art force‑moment‑sensing and world‑leading image‑processing technology. This unique combination of technologies allows us to provide user‑friendly and affordable robotic solutions that enable intelligent precision assembly.

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.