Senior / Staff Machine Learning Engineer, Waabi
$158-269k
+ Equity incentive awards and an annual performance bonus
AI powered self-driving technology
Job no longer available
AI powered self-driving technology
101-200 employees
Job no longer available
$158-269k
+ Equity incentive awards and an annual performance bonus
101-200 employees
Company mission
To bring commercially viable self-driving technology to society.
Role
Who you are
- MS/PhD or Bachelors degree with a minimum of 6 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
Desirable
- Experience in optimizing model training and evaluation, familiar with model profiling tools
- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT, cuda kernels
- Experience in Bazel build systems, and integrating third party packages into dev environments
What the job involves
- 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.)
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Insights
81% employee growth in 12 months
Company
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
Funding (2 rounds)
Jun 2024
$200m
SERIES B
Jun 2021
$72.4m
SERIES A
Total funding: $272.4m
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
Company Specialist at Welcome to the Jungle