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Home›Jobs›Waabi›Technical Lead Manager, Evaluation & Benchmarking
Waabi

About Waabi

Leading the way in self-driving technology innovation

🏢 Tech👥 201-500 employees📅 Founded 2021📍 Toronto, Ontario, Canada💰 $272.4m⭐ 4.2
B2BTravelCarsAugmented RealitySaaS

Key Highlights

  • Raised $272.4 million in Series A funding
  • Partnership with Volvo for autonomous truck development
  • Headquartered in Toronto, Ontario, Canada
  • 201-500 employees focused on AI and autonomy

Waabi, headquartered in Toronto, Ontario, is at the forefront of AI-powered self-driving technology, aiming to bring commercially viable autonomous vehicles to the market. With $272.4 million raised in Series A funding, Waabi partners with Volvo to develop the Volvo VNL Autonomous truck, integrating...

🎁 Benefits

Waabi offers competitive salaries, equity options, flexible remote work policies, and generous PTO to support work-life balance....

🌟 Culture

Waabi fosters a culture of innovation and technical excellence, emphasizing an AI-first approach to tackle the complexities of self-driving technology...

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Waabi

Technical Lead Manager, Evaluation & Benchmarking

Waabi • Toronto, CAN, San Francisco, CA, Dallas, TX & Remote - US & Canada

Posted 8 months ago🏠 RemoteLeadTechnical lead📍 Toronto📍 San francisco📍 Dallas
Apply Now →

Job Description

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Rigorous Evaluation & Benchmarking is core to safe development of self-driving systems. The Evaluation & Benchmarking team is responsible for building the algorithms & tooling required to comprehensively evaluate the autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of  the next generation of autonomous vehicles!

You will...
- Lead the Evaluation & Benchmarking team responsible for developing the algorithms and tools necessary to thoroughly assess the autonomy system's performance throughout development.
- Work closely with internal users to understand their requirements and workflows and build a long-term roadmap for the team aligned with the company's milestones.
- Lead technical projects; contributing as an IC while also managing a team of engineers.
- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
- Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports.
- Advocate and set patterns for software development.

Qualifications:
- Minimum of 6+ years of industry experience including at least 2+ years managing high performing engineering teams.
- MS/PhD or Bachelors degree in Computer Science, Robotics and/or similar technical field(s) of study.
- Experience working with internal cross-functional partners/stakeholders Experience with system design/architecture and algorithms.
- 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 autonomous systems, robotics, and/or machine learning.
- Experience with large scale databases and analytics.
- Experience with data pipelines & workflow automation.
- Experience with evaluation & benchmarking of complex systems and/or large ML models.

Interested in this role?

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