Design, implement, and deploy state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating downstream engineering workflows such as quick issue triaging.
Curate high-quality datasets for evaluation and training to ensure model robustness, performance, and coverage.
Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to efficiently handle long-tail events and continuously improve labeling data quality.
Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement.

B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning.
Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs).
Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch.
Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery.
Expertise in PySpark/Apache Spark for handling large-scale data processing.

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing

Senior Data Scientist II, ML

Key skills