Member of Technical Staff, Microsoft Robotics (Spatial AI)
Core
Design, develop, and evaluate physical world models (3D spatial structure, object geometry, physics dynamics) for robotic applications, enabling model-based planning and policy learning.
Role type
Senior IC machine-learning engineer (spatial AI/world models)
Builds
World models (video prediction, neural physics simulators, 3D generative models) integrated into robot planning and control pipelines
Domain
Robotics + Spatial AI / 3D Vision
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, TensorFlow, 3D scene reconstruction, object detection, pose estimation, spatial reasoning, multi-sensor data fusion, GPU computing, model evaluation frameworks (via careerplan.io/jobs/1970393556866702-member-of-technical-staff-microsoft-robotics-spatial-ai-at-microsoft)
Preferred skills
robotics perception/navigation, neural physics simulators, NeRF/Gaussian splatting, model-based reinforcement learning, published research in top-tier venues
Technologies
PyTorch, JAX, TensorFlow, Azure Machine Learning, Kubernetes, RGB-D, LiDAR
Responsibilities
Build and train world models for future state prediction; Develop spatial AI capabilities for perception and planning; Implement evaluation frameworks for model accuracy and generalization; Build data pipelines for multi-sensor fusion and dataset curation; Collaborate on integrating world models into control pipelines; Contribute to team R&D roadmap and technical publications
Seniority
Senior, hands-on IC
