Home › Companies › Agile Robots Se › Senior AI Research Engineer (m/f/d) Learning-Based Robotics
Senior AI Research Engineer (m/f/d) Learning-Based Robotics
Agile Robots Se · Germany, Munich (HQ) · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Agile Robots Se |
| Title | Senior AI Research Engineer (m/f/d) Learning-Based Robotics |
| Normalized title | - |
| Department / team | AI Solutions / Artificial Intelligence & Data |
| Location | Germany, Munich (HQ) |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2026-03-02 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Agile Robots Se. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in AI Solutions. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Agile Robots Se |
| Source | bcb1fbae-6077-4ee3-833d-67baf488bf90 |
| ATS provider | Personio |
Description
About the role
The AI Research Division of Agile Robots is looking for a Senior AI Engineer with strong experience in learning-based methods for robotics and sequential decision-making, focused on developing predictive and learning-based components for embodied systems in collaboration with robotics, perception, and systems teams.
Your Responsibilities
Learning Models: Research and develop learning-based models for robotic and embodied systems. Predictive Modelling: Design, train, and evaluate predictive or dynamics-related models. Pipeline Integration: Integrate learned models with control, planning, or policy-learning pipelines. Experimental Evaluation: Design robotic experiments and conduct scientific evaluation of model performance. Collaboration: Collaborate closely with Robotics, Perception, and Systems teams. Research Transfer: Contribute to publications, prototypes, and technology transfer into products.
Essential Skills
Professional Experience: Minimum of 4 years of professional experience in AI, deep learning, and/or robotics. Sequential Learning: Strong background in sequential prediction, dynamics modelling, or model-based learning. Temporal Data: Demonstrated experience building and training deep learning models for temporal data such as video, trajectories, or state sequences. ML Engineering: Solid Python programming skills and hands-on experience with PyTorch. Embodied Systems: Hands-on experience with robotic systems or embodied agents. Education: MSc or PhD in Robotics, AI, Computer Science, or a related field.
Beneficial Skills
Research Output: Publications or preprints in top-tier ML or robotics venues such as NeurIPS, ICLR, ICML, CoRL, RSS, or ICRA. Advanced Modelling: Experience with latent dynamics models, model-based reinforcement learning, or predictive control. Sequence Architectures: Familiarity with transformer-based or diffusion-based sequence models. Applied Robotics ML: Prior experience applying machine-learning methods in robotics contexts.
What we offer
A 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
Full job record
| Job ID | 9dad5cac38c9e46535003b4b6bffd836688e5ac8 |
| Org ID | cbcab16d-d77f-4aae-95e4-f537194009c8 |
| Source ID | bcb1fbae-6077-4ee3-833d-67baf488bf90 |
| Board ID | bcb1fbae-6077-4ee3-833d-67baf488bf90 |
| Provider | personio |
| Provider Job Key | 2550451 |
| Title | Senior AI Research Engineer (m/f/d) Learning-Based Robotics |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Germany, Munich (HQ) |
| Department | AI Solutions |
| Team | Artificial Intelligence & Data |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://agile-robots-se.jobs.personio.de/job/2550451?language=en |
| Apply URL | https://agile-robots-se.jobs.personio.de/job/2550451?language=en |
| First Seen At | 2026-05-30 06:05:02Z |
| Last Seen At | 2026-06-06 07:54:12Z |
| Last Checked At | 2026-06-06 07:54:12Z |
| Last Changed At | 2026-05-30 06:05:02Z |
| Inactive At | — |
| Source Posted At | 2026-03-02 15:02:22Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=agile-robots-se.de/date=2026-06-06/2026-06-06T07-54-11-954Z-784a826e6f3211779d98f861e26fa61d9ac5e980c0b6fc37cf918f969809edb8.json |
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