Research Engineer, Learnable Planner (Data Engineering)

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:

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 and 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 in order to deliver high quality datasets, consisting of both nominal and long-tail scenarios, sourced from a combination of simulation and the real world.

- 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.

Qualifications:

- MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.

- Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or research projects.

- Experience working in a team environment on a common codebase.

- Experience in data processing pipelines, ETL pipelines, distributed computing.

- Ability to learn new technologies quickly.

- 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 solving data problems in the field of autonomous driving.

Additional Information

The US yearly salary range for this role is: $159,000 - $296,000 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.