Research Engineer, Learnable Planner

Summary

Join Waabi, a leading AI company revolutionizing self-driving technology, as a Research Engineer for Learnable Planner. You will play a crucial role in developing data infrastructure for training and evaluating Waabi's autonomous driving planner. This involves generating, curating, and cleaning datasets from simulation and real-world sources. You will design evaluation pipelines, champion engineering excellence, and collaborate with a multidisciplinary team. This position requires a strong background in computer science, robotics, and data processing. Waabi offers competitive compensation, equity awards, and a comprehensive benefits package.

Requirements

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

Responsibilities

• Develop infrastructure for generating data for training and evaluation at scale for autonomy, with a focus on planning performance
• Create mechanisms for categorization, curation and cleaning in order to deliver high quality datasets, consisting of both nominal and long-tail scenarios, sourced from a combination of 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 as well as 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

Preferred Qualifications

Experience solving data problems in the field of autonomous driving

Benefits

• Competitive compensation and equity awards
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)
• Unlimited Vacation
• Flexible hours and Work from Home support
• Daily drinks, snacks and catered meals (when in office)
• Regularly scheduled team building activities and social events both on-site, off-site & virtually