Full-Time
Machine Learning Engineer
Confirmed live in the last 24 hours
Waabi
51-200 employees
Develops self-driving technology for trucking
Compensation Overview
$109k - $190kAnnually
Junior, Mid
Toronto, ON, Canada
Hybrid position in Toronto, Ontario.
- 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.
- 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
6 month growth
↑ 25%1 year growth
↑ 22%2 year growth
↑ 90%
Simplify's Take
What believers are saying
- Waabi's strategic partnerships with NVIDIA and Uber boost its technological capabilities.
- The expansion into Texas leverages a favorable regulatory environment for tech companies.
- A $200 million funding round supports Waabi's growth and market expansion efforts.
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.
- Evolving regulations in Texas could present legal and operational challenges for Waabi.
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 for efficient training and deployment.
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