Software Engineer, Data Platform

What you'll do

• Build data ingestion pipelines and automated validation systems for data from multiple sources.
• Improve annotation tooling and workflows, and develop automated annotation methods using computer vision and vision-language models.
• Own data quality and diversity systems and metrics; support live pipelines through debugging and observability.

What they ask for

• 2+ years of software engineering experience building production systems.
• Strong programming fundamentals and comfort across services, data pipelines, and applied ML tooling.
• Experience in at least one of: real-time or large-scale data pipelines, ML data workflows, computer vision, or data infrastructure.
• Ownership taking features or systems from prototype to production and supporting them in the field; clear communication and close collaboration.

Nice to have

• Hands-on experience with sensor data and infrastructure to process, validate, and label it at scale.
• Experience with streaming or near-real-time pipelines, ML data workflows, or running or integrating computer vision or vision-language models.

AI focus

Explore and build automated annotation methods, including running computer vision and vision-language models for depth estimation, hand tracking, and auto-labeling.