Full-Time
Research Engineer
Confirmed live in the last 24 hours
Waabi
51-200 employees
Develops self-driving technology for trucking
Compensation Overview
$122k - $215kAnnually
Mid, Senior
Toronto, ON, Canada + 1 more
More locations: San Francisco, CA, USA
Hybrid position requiring some in-office days.
You match the following Waabi's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
- Experience working on applied research projects.
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Solid understanding of computing fundamentals, including code efficiency.
- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
- Comfortable working with large datasets for machine learning applications.
- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
- Master/PhD in machine learning, computer science, engineering, or a related field.
- Experience in shipping machine learning features/models into production.
- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
- Previous experience in self-driving technology or related fields.
- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
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 system. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They generate revenue by licensing their self-driving technology to trucking companies and OEMs.
Company Stage
Series B
Total Funding
$265.9M
Headquarters
Toronto, Canada
Founded
2021
6 month growth
↑ 2%1 year growth
↓ -2%2 year growth
↑ 2%
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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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Flexible Work Hours
Company Equity