Job Opportunities API

The Opportunity We’re looking for a Senior Data Engineer to architect and scale the data backbone powering next-generation AI models in robotics and real-world environments. This role sits at the intersection of distributed systems, multimodal data processing, and applied machine learning, with a strong focus on building high-quality datasets for robotic foundation models. You will ensure that data pipelines, infrastructure, and data strategy directly translate into measurable improvements in model performance. Your Responsibilities Drive the model–data loop by connecting application requirements with data collection, and translating model failures into data-driven improvements through collection, curation, and augmentation Build and scale distributed data pipelines (Ray/Anyscale or similar) 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 Technologies Python (advanced, production-grade) Ray / Anyscale or Apache Spark AWS / GCP for large-scale data and GPU training pipelines Video and sensor data formats (H.264/H.265, ROS bags, MCAP) PyTorch, NumPy DVC, LakeFS or similar data versioning tools Distributed data processing and storage systems