Research Engineer, Learnable Planner (Data Engineering)

Position Overview

• Location Type: Hybrid (Toronto, San Francisco, Dallas)
• Job Type: Full-time
• Salary: $159,000 - $296,000 USD (US yearly range)

Waabi, founded by AI pioneer Raquel Urtasun, is an AI company building the next generation of self-driving technology. We are bringing the promise of self-driving closer to commercialization than ever before. With offices in Toronto, San Francisco, and Dallas, 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 Engineer for Learnable Planner, you will support the generation and curation of data needed to train and evaluate Waabi’s planner, 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.

Requirements

• Education: MS/PhD or Bachelors degree in Computer Science, Robotics, or a related technical field.
• Experience: Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or research projects.
• Teamwork: Experience working in a team environment on a common codebase.
• Data Processing: Experience in data processing pipelines, ETL pipelines, and distributed computing.
• Learning Ability: Ability to learn new technologies quickly.
• Personal Attributes: Open-minded and collaborative team player with a willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Responsibilities

• Develop infrastructure for generating data at scale for training and evaluation of autonomy systems, with a focus on planning performance.
• Create mechanisms for categorization, curation, and cleaning to deliver high-quality datasets, including both nominal and long-tail scenarios, sourced from simulation and the real world.
• Design metrics and evaluation pipelines for understanding and triaging autonomy performance, and tighten the feedback loop for improving the system.
• Champion engineering excellence, ensuring high-quality, well-structured, and tested code.
• Work with large datasets from various sources, including Waabi World, our high-fidelity simulator.
• Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.

Bonus/Nice to Have

• Experience solving data problems in the field of autonomous driving.

Company Information

• Company: Waabi (US) Inc.
• Website: www.waabi.ai