• MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in computer science, engineering, or a related field
• Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code
• Previous experience with ML pipelines, including dataset curation, labelling, training and evaluation
• Solid understanding of computing fundamentals, including code efficiency
• Experience with concurrent, parallel, and distributed computing techniques for efficient computation
• Open-minded and collaborative team player with the willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
• Familiar with linear algebra (projections, transforms) and 3D geometry

Desirable

• Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, delivering new capabilities that improve the performance of our machine learning systems
• Design and implement data pipelines from various sources including real world driving and Waabi World, our high-fidelity simulator, to train deep learning models
• Streamline training, evaluation, and deployment workflows of our production models
• Evaluate model performance and prototype solutions for regressions in long-tail scenarios
• Champion engineering excellence, ensuring high-quality, well structured and tested code
• Participate in roadmap ideation, planning, and prioritization