Research Engineer, Waabi

• MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study
• Experience working on applied research projects in ML/Autonomous driving
• Passion for taking research ideas and turning them into practical solutions for real-world applications
• Solid understanding of computing fundamentals, including code efficiency
• Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques
• 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
• Open-minded and collaborative team player with the willingness to help others
• Experience and excitement in supporting a fast-paced high-growth environment
• Passionate about being part of an organization solving self-driving technologies

Desirable

• Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system
• Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes—such as road closures, construction, or shifting traffic patterns—ensuring accurate and safe navigation for our autonomous vehicles
• Partner with platform teams to ensure seamless integration, deployment and continuous operation of the online mapping system within our self-driving vehicles
• Champion engineering excellence, ensuring high-quality, well structured and tested code
• Contribute to the broader research community by publishing findings at top conferences and sharing insights on Waabi’s blog, helping establish Waabi as a leader in online mapping research