Full-Time
Senior / Staff Machine Learning Engineer
Confirmed live in the last 24 hours
Waabi
51-200 employees
Develops self-driving technology for trucking
Compensation Overview
$158k - $269kAnnually
Mid, Senior
Toronto, ON, Canada + 1 more
More locations: San Francisco, CA, USA
Hybrid role requiring in-office presence.
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in Python or C++.
- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.
- Experience in software architecture, system performance, latency and data flow.
- Experience in Machine Learning.
- Understanding of parallel machine learning training and model deployment (e.g., TensorRT conversion).
- Ability to productionize machine learning models.
- Experience building software solutions on cloud infrastructure.
- Ability to rapidly prototype and test new algorithms.
- Solid problem solving skills using linear algebra, geometry, statistics & probability.
- 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 several machine learning projects.
- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
- Implement and improve machine learning training and inference pipelines.
- Make iterations on the models for improvements.
- Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models.
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). Waabi stands out from competitors by utilizing an advanced simulation platform called Waabi World, which allows them to refine their self-driving systems in a virtual environment, minimizing the need for extensive real-world testing. This not only cuts costs but also enhances safety and adaptability. The goal of Waabi is to transform the trucking sector by providing technology that reduces operational costs and improves safety for commercial vehicles.
Company Stage
Series B
Total Funding
$265.9M
Headquarters
Toronto, Canada
Founded
2021
6 month growth
↑ 23%1 year growth
↑ 20%2 year growth
↑ 104%
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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