Research Engineer

Waabi – Building the Future of Self-Driving Technology

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

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The motion planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for learnable planner, you will support generation and curation of data needed to train and evaluate Waabi’s planner, enabling our launch of fully driverless autonomous trucks.

You will contribute towards Waabi's vision of a single AI system that learns end-to-end in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.

You will...

• Develop infrastructure for generating data for training and evaluation at scale for autonomy, with a focus on planning performance.
• Create mechanisms for categorization, curation, and cleaning to deliver high-quality datasets, consisting of both nominal and long-tail scenarios, sourced from a combination of simulation and real-world data.
• Design metrics and evaluation pipelines for understanding and triaging autonomy performance, and tighten the feedback loop for improving the system.
• Champion engineering excellence, ensuring high-quality, well-structured, and tested code.
• Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
• Be part of a team of multidisciplinary engineers and research scientists using an AI-first approach to enable safe self-driving at scale.

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Qualifications

• MS/PhD or bachelor's degree in computer science, robotics, or a similar technical field.
• Demonstrated software engineering experience through internships, work experience, coding competitions, or research projects.
• Experience working in a team environment on a common codebase.
• Experience in data processing pipelines, ETL pipelines, and distributed computing.
• Ability to learn new technologies quickly.
• Open-minded and collaborative team player willing to help others.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/Nice to Have

• Experience solving data problems in autonomous driving.

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Compensation & Benefits

The US yearly salary range for this role is $159,000 - $296,000 USD, in addition to competitive perks & benefits. Waabi (US) Inc.’s salary ranges are determined based on several factors in accordance with the company’s compensation practices.

Additional compensation includes:

• Equity incentive awards
• Annual performance bonus

Perks & Benefits

• Competitive compensation and equity awards
• Health and wellness benefits covering medical, dental, and vision (for full-time employees only)
• Unlimited vacation
• Flexible hours and work-from-home support
• Daily drinks, snacks, and catered meals (when in office)
• Regular team-building activities and social events (on-site, off-site, and virtual)
• Growing benefits and perks package as Waabi expands

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Join Waabi

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

Diversity & Inclusion Statement

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all employees.

We seek applicants from all backgrounds and identities, including but not limited to race, color, ethnicity, national origin, age, citizenship, religion, sex, sexual orientation, gender identity, military or veteran status, marital status, pregnancy or parental status, caregiver status, and disability.

If you require reasonable accommodations to participate in the job application or interview process, please notify our recruiting team.

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