Senior Data Platform Engineer (F/M/D)
Core
Architect and scale the data backbone powering next-generation AI models in robotics and real-world environments, focusing on building high-quality datasets for robotic foundation models.
Role type
Senior Data Platform Engineer (Robotics/AI)
Builds
Distributed data pipelines, multimodal data schemas, and data versioning tooling for TB-scale video and sensor datasets.
Domain
Robotics, Autonomous Systems, Applied Machine Learning
Deliverable
production ML models
Required skills
Distributed systems engineering, Python (advanced), Ray/Anyscale or Apache Spark, Video and sensor data processing, Data pipeline architecture, Data quality and curation, Team leadership
Preferred skills
Multimodal foundation model dataset construction, Robotics fundamentals (sensor synchronization, 3D transforms), Active learning workflows
Technologies
Ray, Anyscale, Apache Spark, AWS, GCP, PyTorch, NumPy, DVC, LakeFS, ROS bags, MCAP, H.264, H.265
Responsibilities
Drive the model–data loop by connecting application requirements with data collection and translating model failures into data-driven improvements; Build and scale distributed data pipelines for TB-scale video, sensor, and robotics datasets; Design multimodal data schemas aligning video, actions, and high-frequency sensor streams; Develop Python tooling for data quality, including cleaning, anomaly detection, and dataset versioning; Own dataset quality and coverage, including annotation workflows, data diversity, and storage trade-offs; Lead a small team and coordinate with data providers and annotation vendors; Oversee real-world data collection, including technical setup, compliance, and secure data handling
Seniority
Senior, hands-on IC with leadership responsibilities