Technical Lead Manager, Evaluation & Benchmarking

Waabi; Toronto; Hybrid; USD 159,000 - 268,000; Full time

Job summary

An innovative AI company is seeking a dynamic leader for their Evaluation & Benchmarking team. In this pivotal role, you will develop algorithms and tools to evaluate self-driving systems, collaborating closely with cross-functional teams. Your leadership will guide a talented group of engineers, ensuring the safe development of autonomous vehicles. This role offers an exciting opportunity to impact the future of transportation technology and work in a supportive, inclusive environment that values diversity and innovation.

Benefits

Competitive compensation and equity awards

Health and Wellness benefits

Unlimited Vacation

Flexible hours and Work from Home support

Daily drinks, snacks, and catered meals

Regularly scheduled team building activities

Qualifications

• 6+ years of industry experience with 2+ years managing engineering teams.
• Experience with system design, algorithms, and cross-functional collaboration.

Responsibilities

• Lead the Evaluation & Benchmarking team for autonomy system assessment.
• Work with internal users to build a roadmap aligned with company milestones.

Skills

Team Leadership

System Design

Algorithms

Collaboration

Problem Solving

Self-Driving Technologies

Education

Bachelor's in Computer Science

Master's or PhD in Robotics

Tools

Data Pipelines

Large Scale Databases

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, and Dallas, 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/stakeholdersExperience 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.

The US yearly salary range for this role is: $159,000 - $268,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/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.

- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.