Staff Machine Learning Engineer

We build the infrastructure that processes, validates, and delivers large-scale multimodal data for frontier AI systems. You’ll own the core data platform end to end and work closely with customers to ensure reliable, high-quality data delivery., * Own the end-to-end data pipeline from ingestion to customer delivery

• Build automated validation and quality control systems
• Design scalable data schemas and maintain compatibility as requirements evolve
• Optimize storage architecture, performance, and infrastructure cost
• Build observability and traceability across the data lifecycle
• Work directly with customer engineering teams to resolve technical issues
• Scale the platform to support rapid business growth

• 5+ years building production data infrastructure
• Strong experience designing scalable backend or data processing systems
• Experience working with large multimedia datasets
• Familiarity with distributed data processing and cloud infrastructure
• Hands-on experience building automated validation or data quality systems
• Strong software engineering skills (Python and/or Go preferred)
• Excellent communication skills and ability to work with external partners

Nice to Have

• Experience with robotics, computer vision, or sensor data
• Background in video processing or computer graphics
• Experience building internal data platforms or developer tooling
• Experience working with imperfect real-world datasets

Not a Fit If

• Your experience is primarily analytics or business intelligence
• You prefer narrowly defined implementation tasks
• You are uncomfortable interacting with customers
• You have limited interest in infrastructure performance or cost optimization

Why Join

• Work with world-leading AI labs on cutting-edge infrastructure
• Own critical systems with significant technical autonomy
• Shape architecture from the ground up
• Small team, fast execution, high impact
• Help define infrastructure for the next generation of Physical AI