Applied Data Scientist role focusing on developing frameworks for evaluating autonomous technologies. Join Waabi's innovative team advancing autonomous transportation solutions based on Physical AI.
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.
Requirements
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.
Bonus/nice to have:
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.
Fellowship supporting mid - career scholars whose work advances Canada’s engagement with the Indo - Pacific. Proposing research in areas like Economic Security, Technology, and Indo - Pacific Geopolitics.
Leading research in post - training alignment and reinforcement learning at Autodesk AI Lab. Managing a team of AI scientists to develop reliable foundation models for various industries.
Applied Data Scientist working on multi - faceted evaluation methodology for autonomous driving technology at Waabi. Collaborating cross - functionally to deliver actionable insights on system performance.
Senior Applied Scientist at MaintainX enhancing scheduling systems through Python optimization and collaboration with product design teams. Focused on real - world applications of AI - driven scheduling.
Research Scientist developing machine learning models to predict cellular responses for drug discovery. Joining a multidisciplinary team at Valence Labs in Montreal, Quebec.
Research Assistant supporting new content development at the Toronto Holocaust Museum. Conducting research on antisemitism and surveying responses from other museums.
Research Scientist at Valence Labs developing ML models for predicting cellular responses in drug discovery. Building generative models based on massive multiomics datasets with collaborative research.
Research Scientist developing neural reconstruction algorithms at Waabi, leading innovations in autonomous transportation technology. Seeking innovative candidates to join a rapidly expanding team.
Applied Scientist developing and deploying AI models for customer growth at Thumbtack. Focusing on user data to create scalable experiences and innovate marketing strategies.