We're building the future of embodied intelligence and seeking a Senior Data Engineer, MLOps to architect our data platform, enabling our machine learning and robotics teams to move faster and deploy AI solutions into production.
Requirements
- 5+ years of experience in data engineering, with a strong track record of building scalable data systems and infrastructure from the ground up.
- Previous experience supporting AI/ML teams with data platforms in fast-paced or startup environments.
- Deep proficiency in SQL, Python, and distributed data systems.
- Hands-on experience with tools like AWS, Snowflake, Dagster, dbt, or equivalent modern data stack.
- Experience with streaming technologies such as Kafka, Flink, or similar platforms for real-time data processing.
- Passionate about building clean, reliable data pipelines that power real-time ML and robotics workflows.
- Experience with data quality, observability, and production monitoring of data systems.
- Comfortable operating in ambiguity and taking ownership.
Benefits
- Daily free lunch
- Flexible PTO
- Comprehensive medical, dental, and vision coverage
- 6 weeks fully paid parental leave
- 401(k) retirement plan through Empower
- Generous employee referral bonuses