- Robot type
- Autonomous Vehicle
- Location
- San FranciscoCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- May 11, 2026
- Salary
- $128,000–$184,000 a year
Applied Scientist
Job description
We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.
At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI.
Job responsibilities
- Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.
- Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.
- Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements…
- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.
- Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.
- Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).
- BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.
- Strong command of SQL, and familiarity with Python for data manipulation and prototyping.
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