Research Engineer, Waabi

$122-215k

Python
C++
Rust
CUDA
PyTorch
Junior, Mid and Senior level
Remote in Canada, US
San Francisco Bay Area
Toronto
Waabi

AI powered self-driving technology

Open for applications

Waabi

AI powered self-driving technology

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Open for applications

$122-215k

Python
C++
Rust
CUDA
PyTorch
Junior, Mid and Senior level
Remote in Canada, US
San Francisco Bay Area
Toronto

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Company mission

To bring commercially viable self-driving technology to society.

Role

Who you are

  • Bachelor's in computer science, engineering, machine learning, or a related technical discipline
  • Experience working on applied research projects
  • Passion for taking research ideas and turning them into practical solutions for real-world applications
  • Solid understanding of computing fundamentals, including code efficiency
  • Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code
  • Comfortable working with large datasets for machine learning applications

Desirable

  • Master/PhD in machine learning, computer science, engineering, or a related field
  • Experience in shipping machine learning features/models into production
  • Strong grasp of machine learning literature, including current trends and state-of-the-art techniques
  • Previous experience in self-driving technology or related fields
  • Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology
  • Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models
  • Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation
  • Proficiency in Pytorch, Rust, C++ and/or CUDA

What the job involves

  • 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
  • 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

Our take

Autonomous vehicle technology is rapidly developing and many sectors are recognising its value. However, whilst the self-driving industry has made significant advancements there is much more that can be done. There are challenges in this space surrounding scale and developing commercially viable self-driving technology.

Waabi hopes to tackle these challenges and be the leader in self-driving technology with their "AI first approach". The company said that combined with a closed-loop simulator, this approach will allow both common driving scenarios and safety-critical edge cases to be tested at scale - solving one of the key issues in the industry.

Waabi successfully raised one of the largest Series A rounds ever raised in Canada, and has gone on to raise fresh Volvo and Uber-led funding in early 2024. While the company's focus is currently on autonomous long-haul trucking (launching its first generation of trucks in November 2022), the company is well set to lead the next generation of self-driving technology.

Kirsty headshot

Kirsty

Company Specialist

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

81% employee growth in 12 months

Company

Funding (2 rounds)

Jun 2024

$200m

SERIES B

Jun 2021

$73.7m

SERIES A

Total funding: $273.7m

Company benefits

  • Equity awards
  • Medical, Dental and Vision coverage (for full-time employees only)
  • Unlimited Vacation
  • Flexible hours and Work from Home support
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually
  • Annual performance bonus

Company HQ

Downtown Toronto, Toronto, ON

Leadership

Raquel Urtasun

(CEO)

Previously worked at Uber as Chief Scientist, Head of Uber ATG R&D. Is also a professor at the University of Toronto.

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