7 months ago
Remote, Americas +2 moreSenior
Base Salary
$127k - $223k/yr
Responsibilities
- Develop tooling, infrastructure, and pipelines for large-scale statistical analysis of driving performance.
- Implement metrics and tags to understand model performance and discover scenarios for training and evaluation.
- Develop and maintain a highly available, low-latency query service for large volumes of metric and tag data.
- Process and analyze datasets from real-world driving and the Waabi World simulator.
- Write high-quality, well-structured, and well-tested code.
- Assist with project roadmap planning, prioritization, and delivery.
Requirements
- Bachelor’s or master’s degree in Computer Science, Machine Learning, or a similar technical field.
- At least 2 years of industry experience.
- Proficiency in Python and strong software engineering fundamentals.
- Real-world experience writing high-quality, well-structured, and well-tested code.
- Collaborative approach and willingness to help others.
- Passion for self-driving technologies and solving challenging technical problems.
Benefits
- Competitive compensation and equity awards.
- Medical, dental, and vision coverage for full-time employees.
- Unlimited vacation.
- Flexible hours and work-from-home support.
- Daily drinks, snacks, and catered meals when working in the office.
- Regular on-site, off-site, and virtual team-building activities and social events.
About Waabi
Waabi builds AI-driven self-driving technology for long‑haul freight, centered on the Waabi Driver autonomous trucking system and the Waabi World simulator. The company partners with carriers and vehicle makers to commercialize autonomous trucks and explores robotaxi applications. Founded in 2021 by Raquel Urtasun, Waabi is privately held, headquartered in Toronto, with offices in San Francisco, Dallas, and Pittsburgh.