Note: The job is a remote job and is open to candidates in USA. Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. They are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying their evaluation ecosystem, focusing on the performance and reliability of their autonomous driving technology.
Responsibilities
- Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage
- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth
- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership
- 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
- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics
- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows
Skills
- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects
- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics
- Strong command of Python/SQL for data analysis and prototyping
- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling
- Experience working with internal cross-functional partners/stakeholders
- Open-minded and collaborative team player with willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience in the Autonomous Vehicle or Robotics industry
- Familiarity with Systems Verification and Validation
- Experience with large scale databases and analytics
- Experience with workflow automation/orchestration frameworks
Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
Company Overview
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