Engineering Manager Machine Learning

Employment Type

: Full-Time


: Miscellaneous

The Machine Learning Engineering Manager is responsible for managing a team of ML engineers and drive the technical direction for development and deployment of perception software for ADAS applications. The person in this role will be responsible for development of perception applications for LIDAR-centric system and will be working across teams to deliver timely system with continuous deployment/continuous integration and regression testing. Specific Job Requirements: * Manage and grow a team of machine learning engineers * Deep knowledge of Machine Learning and Computer Vision to drive the technical vision and laydown the development plans to meet deliverables * Design, architect and oversee the infrastructure for performance tracking, data management, annotation requirements, and ML model releases * Communicate effectively with team-members as well as cross-functional teams to deliver system releases * Pleasant personality, and excellent communication to be an effective leader and manager Knowledge: * Problem Solving/Analysis * Customer/Client Focus * Program and Project Management * Personal Effectiveness/Credibility * Leadership/Team Collaboration * Technical Capacity Preferred Education and Experience Requirements: * MS or PhD in Computer Science or equivalent, with an emphasis on computer vision, machine learning, neural networks * 2-5 years of industry experience in the field of computer vision, machine learning and neural networks * Prior experience in managing or leading computer vision teams with strong people management skills * Experience with continuous deployment/continuous integration and regression testing To all recruitment agencies: Velodyne Lidar does not accept agency resumes. Please do not forward resumes to our career page or other Velodyne employees. Velodyne is not responsible for any fees related to any unsolicited resumes.

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