About the role

Aplyr's Quick Take

This role is about developing and refining AI algorithms for self-driving vehicles, focusing on deep learning and computer vision. It's primarily an individual contributor position where you'll prototype solutions, analyze data, and collaborate with a team of engineers and scientists.

Good fit

Ideal candidates have a strong background in AI, particularly in deep learning and computer vision, and are comfortable working with large datasets. Experience in autonomous systems or a related field is beneficial, and a collaborative, innovative mindset will help you thrive.

Worth noting

The role emphasizes a commitment to high-quality code and experimental validation, which may appeal to engineers who value rigor in their work. The company is growing rapidly, which could mean both opportunities and challenges in a fast-paced environment.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.

You will...

- 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.

Qualifications:

- 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.

Bonus/nice to have:

- 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.

Skills & Tags

python go rust machine learning ai data product

Aplyr's read

Waabi is advancing autonomous vehicle technology with a focus on AI-driven safety and efficiency, attracting engineers and policy experts to innovate in transportation.
Synthesized from recent postings & public sources

What's promising

•Waabi's focus on AI solutions aims to significantly enhance vehicle safety.
•The company is actively hiring specialized roles, indicating growth and investment in talent.
•Waabi's work in autonomous vehicles could revolutionize transportation efficiency.

What to watch

•Autonomous vehicle technology faces significant regulatory and public acceptance hurdles.
•The industry is highly competitive, with established players like Waymo and Tesla.
•Developing reliable AI for autonomous driving is a complex and lengthy process.

Why Waabi

•Waabi emphasizes AI-driven solutions specifically for safety in autonomous vehicles.
•The company is building a diverse team, from engineers to policy experts.
•Waabi's approach integrates cutting-edge AI with practical vehicle testing and operations.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Waabi

Waabi

waabi.ai

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Waabi is a technology company focused on developing artificial intelligence solutions for autonomous vehicles, aiming to improve safety and efficiency in transportation.