Senior Engineer

Motional•Boston, MA

7d•Remote

About The Position

Work on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomous driving tasks. Collaborate with ML (Machine Learning) infrastructure teams and contribute to workflows for continuous learning through iterative mining, error analysis, training and deployment. Research and develop methods for extracting uncertainty and informativeness indicators to automatically mine for challenging scenes and analyze model performance. Provide statistical depth and insights on model uncertainty, generalization and robustness. Conduct deep learning experiments and write technical reports. Provide guidance to junior researchers on research projects and design document reviews.

Requirements

Bachelor’s degree in computer science, information technology, or a closely related technical field
Five years of post-bachelor’s industry experience
Industry experience with Python
Production-quality software development
Applying solid software engineering principles such as configuration management, source control, build processes, code reviews, testing methodologies, app containerization, and continuous integration
Core AWS services (S3, RDS, Athena, Redshift or EKS)
DBMS (PostgreSQL, MySQL, MongoDB or SQLlite)
Writing SQL queries for data analysis purposes
Data modeling and dashboarding for data analysis purposes (Looker or Redash)
Architecting and shipping high-performance & large-scale distributed systems deployed in real world robotics applications
Conducting system & software design
Project management
Practicing agile methodologies

Responsibilities

Work on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomous driving tasks.
Collaborate with ML (Machine Learning) infrastructure teams and contribute to workflows for continuous learning through iterative mining, error analysis, training and deployment.
Research and develop methods for extracting uncertainty and informativeness indicators to automatically mine for challenging scenes and analyze model performance.
Provide statistical depth and insights on model uncertainty, generalization and robustness.
Conduct deep learning experiments and write technical reports.
Provide guidance to junior researchers on research projects and design document reviews.