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

Job description

About the role The AI Research Division of Agile Robots is 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 our 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: - 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 & itera...