Research Engineer

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

As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self‑driving vehicles. You will work closely with our team of world‑renowned scientists and engineers specializing in deep learning, computer vision, and self‑driving technologies to develop cutting‑edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self‑driving technology. Senior engineers are welcome to apply.

You will :

• Prototype, evaluate, and iterate on solutions, using real‑world data and simulations, to improve the accuracy, robustness, and safety of our self‑driving algorithms.
• Formulate problems and propose pragmatic and long‑term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self‑driving technologies.
• Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self‑driving system.
• Champion engineering excellence, ensuring high‑quality, well structured and tested code.
• Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self‑driving system and contributing to the development of a unified self‑driving platform.
• Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self‑driving technologies, and apply insights from the literature.
• Work with large datasets from various sources as well as Waabi World, our high‑fidelity simulator.
• Contribute to the publication of research findings in conferences as well as Waabi's blog.

Qualifications :

Bonus / nice to have :

Perks / Benefits :

The US yearly salary range for this role is : $122,000 - $215,000 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.

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.

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