About the role

Aplyr's Quick Take

This role is for a Research Scientist focused on developing AI technologies for motion planning in self-driving trucks. You'll be designing research agendas, implementing deep learning techniques, and collaborating with engineering teams to integrate your findings into production systems. It's a hands-on, individual contributor position in a cutting-edge field.

Good fit

Ideal candidates will have an MS or PhD in a relevant technical field and experience with AI and machine learning, particularly in planning and decision-making. You should be comfortable working independently and have a strong research background.

Worth noting

The role emphasizes publishing research at top conferences, which could be a great opportunity for those looking to establish themselves in the academic community. However, the focus on cutting-edge technology may require a steep learning curve for those not already familiar with the latest advancements.

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

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.

You will...

- Design and execute on a research agenda for deep-learning based motion planning for self-driving.

- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.

- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.

- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.

- Champion engineering excellence, ensuring high-quality, well structured and tested code.

- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.

Qualifications:

- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.

- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).

- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.

- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.

- Proficient in reading and coding in Python.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

- Previous experience in self-driving technology.

- Experience deploying ML/DL models to a production motion planning or related robotics stack.

- Proficiency in Pytorch, Rust, C++ and/or CUDA.

Skills & Tags

python rust machine learning ai product design

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.