Full-Time

Research Scientist

Confirmed live in the last 24 hours

Waabi

Waabi

51-200 employees

Develops self-driving technology for trucking

Automotive & Transportation
AI & Machine Learning

Compensation Overview

$158k - $269kAnnually

+ Equity Incentive Awards + Annual Performance Bonus

Junior, Mid

Toronto, ON, Canada + 1 more

More locations: San Francisco, CA, USA

Hybrid role requiring in-office presence.

Category
Robotics & Autonomous Systems
Deep Learning
Computer Vision
AI & Machine Learning
Required Skills
Rust
Python
CUDA
Pytorch
C/C++
Computer Vision
Requirements
  • Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
  • Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
  • Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
  • Proficient in reading and coding in Python.
  • Open-minded and collaborative team player with willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
  • Previous experience in self-driving technology.
  • Experience in shipping machine learning features/models into production.
  • Proven track record of mentoring junior researchers or engineers.
  • Proficiency in Pytorch, Rust, C++ and/or CUDA.
Responsibilities
  • Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.
  • Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.
  • Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.
  • Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
  • Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
  • Champion engineering excellence, ensuring high-quality, well structured and tested code.
  • Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.

Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi generates revenue by licensing its technology to trucking companies and OEMs, aiming to transform the trucking industry by enhancing safety and lowering operational costs. The company's goal is to leverage self-driving technology to create a safer and more efficient transportation system.

Company Stage

Series B

Total Funding

$265.9M

Headquarters

Toronto, Canada

Founded

2021

Growth & Insights
Headcount

6 month growth

25%

1 year growth

22%

2 year growth

90%
Simplify Jobs

Simplify's Take

What believers are saying

  • Waabi's partnership with NVIDIA boosts its technological capabilities and market reach.
  • The $200 million funding round indicates strong investor confidence in Waabi's potential.
  • Launching in Texas positions Waabi in a favorable tech and logistics environment.

What critics are saying

  • Increased competition from Aurora and Volvo may impact Waabi's market share.
  • Reliance on NVIDIA's technology poses risks if supply chain issues arise.
  • Regulatory changes in Texas could affect Waabi's deployment timeline and costs.

What makes Waabi unique

  • Waabi uses advanced simulation technology, Waabi World, to reduce real-world testing needs.
  • The company employs a unique AI-first approach, minimizing data and computation requirements.
  • Waabi's generative AI enhances self-driving technology efficiency and deployment speed.

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