Full-Time

Machine Learning Engineer

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

$109k - $190kAnnually

+ Equity Incentive Awards + Annual Performance Bonus

Junior, Mid

Toronto, ON, Canada

Hybrid position requires in-office presence.

Category
Applied Machine Learning
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Rust
Python
Pytorch
AWS
C/C++
Requirements
  • MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
  • Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
  • Ability to rapidly prototype with test driven development methodologies.
  • Experience in deep learning frameworks such as PyTorch.
  • Experience in distributed machine learning training, model deployment and monitoring.
  • Experience building software solutions on cloud infrastructure.
  • Open-minded and collaborative team player with willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Responsibilities
  • Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across many machine learning projects.
  • Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
  • Build standardized frameworks for training and production aligned with industry best practices.
  • Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
  • Identify and evaluate emerging technologies that can be adopted into Waabi’s training and production frameworks, in areas of training and inference optimization (i.e quantization, model compilation and exporting, etc.), distributed training, PyTorch tooling, etc.
  • Work with AWS Cloud infrastructure to ensure training job stability and efficiency (i.e compute environments, S3 buckets, etc.).

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

20%

1 year growth

17%

2 year growth

82%
Simplify Jobs

Simplify's Take

What believers are saying

  • Waabi's $200M funding round from prominent investors like Uber and Khosla Ventures underscores strong financial backing and growth potential.
  • The launch of an AV trucking terminal in Texas and commercial pilots with Uber Freight highlight Waabi's readiness for large-scale deployment.
  • Waabi's generative AI technology promises to revolutionize the trucking industry by enhancing safety, reducing costs, and improving operational efficiency.

What critics are saying

  • The autonomous vehicle industry is highly competitive, with established players like Tesla and Aurora posing significant challenges.
  • Regulatory hurdles and public skepticism around self-driving technology could delay Waabi's commercial deployment.

What makes Waabi unique

  • Waabi's use of advanced simulation technology, Waabi World, significantly reduces the need for real-world testing, setting it apart from competitors relying heavily on physical trials.
  • The company's AI-first approach, led by AI pioneer Raquel Urtasun, focuses on efficient reasoning and minimal data requirements, unlike Tesla's imitation learning model.
  • Waabi's strategic partnerships with industry giants like NVIDIA and Uber provide a robust ecosystem for rapid technological advancements and market penetration.

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