# Senior/Staff Research Engineer, Learnable Planner at Waabi

- Company: Waabi
- What the company does: Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more. Backed by Khosla.
- Company website: https://waabi.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote US & Canada
- Work setup: Hybrid
- Pay: $159K to $296K base salary per year (USD)
- Posted: 2025-03-04
- Apply by: 2026-10-12
- Apply: https://jobs.lever.co/waabi/30f77194-6f1c-4ee2-8bb9-0eb9763250af
- Page: https://www.1752.vc/careers/jobs/waabi-senior-staff-research-engineer-learnable-planner/

## About the role

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 engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks.

## What they're looking for

- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered
- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning)
- Passion for taking research ideas and turning them into practical solutions for real-world applications
- Open-minded and collaborative team player with willingness to help others
- Solid understanding of computing fundamentals, including code efficiency
- Experience in deep learning frameworks such as PyTorch

Tags: Autonomy & Algorithms