Senior AI Research Engineer Foundation Models(m/w/x)

Requirements

• Master’s, PhD in Computer Science, Robotics, AI, or related field
• Experience designing and training learning-based robotics policies
• Experience with transformer, diffusion, or vision-language-action models
• Ability to reason about model representations and trade-offs
• Responsibility for model-level outcomes and debugging
• Strong Python skills and ML framework experience
• Understanding of learned policies and physical constraints
• Experience with distributed training or GPU clusters
• Experience leveraging predictive or world-model elements
• Experience validating policies on real robotic systems
• Publications, patents, or deployed systems in AI

Tasks

• Design vision- and language-conditioned robot policies
• Train policies using imitation learning and diffusion-based approaches
• Implement transformer architectures for robot behavior
• Link representations and objectives to behavioral outcomes
• Define model architectures and inductive biases
• Adapt training objectives for embodied learning under uncertainty
• Analyze policy behavior and failure modes
• Refine models for robustness and generalization
• Manage end-to-end learning pipelines
• Validate models through controlled real-world testing
• Collaborate with robotics, perception, and platform teams
• Align learned policies with action spaces and timing constraints
• Track advances in multimodal foundation models
• Evaluate vision-language-action systems for embodied intelligence

Work Experience

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