Machine Learning Engineer

A venture-backed, pre-launch startup based in the US using the power of modern technology to enable machines to see better than humans is looking for a Machine Learning Engineer. The engineer will lead a team and leverage the company's unique data streams to generate state-of-the-art deep learning models. The startup is on a quest to use 3D passive optics to revolutionize how automobiles sense the world. During their Series D round, the company raised close to $200mn in funding. This role requires 4+ hours of overlap with the PST time zone and will be a rare chance for developers to work with cutting-edge technology.

Job Responsibilities:

• Build and utilize a deep understanding of both the platform and the possibilities within machine learning to identify critical opportunities for the team to make meaningful contributions
• Communicate clearly and solve problems at scale 
• Lead a team efficiently and drive progress across cross-functional teams with a strong group of dedicated professionals

Job Requirements:

• MSc or Ph.D. in Machine Learning, Computer Science, Mathematics, or an equivalent experience 
• At least 5+ years of relevant experience as a machine learning engineer
• Minimum of 2+ years of proficiency as a manager or technical lead
• Substantial technical expertise with Tensorflow, PyTorch, or similar DNN framework for solving computer vision problems 
• Familiarity with computer vision, camera systems, and projective geometry
• Demonstrable ability to work in an open, collaborative environment