Senior Manager Safety AI
Job Summary
The Safety AI team develops end-to-end computer vision and machine learning for AI dash cameras to provide real-time safety insights. You will lead teams that fuse on-device computer vision with sensor data to detect and interpret actionable safety events. The role involves owning the model lifecycle from edge to cloud, including training, deployment, and platform optimization.
Responsibilities
- Lead teams specializing in CV, sensor fusion, and ML
- Architect and improve hybrid cloud-edge ML solutions
- Define product roadmap for AI capabilities
- Mentor and scale a high-performing engineering team
Required Skills
- 7+ years experience in AI systems
- 5+ years leadership in software/science teams
- Large-scale ML deployment & lifecycle management
- Computer vision and sensor fusion expertise
- Full-stack or backend engineering proficiency
Job Details
Role Overview: The Safety AI team builds end-to-end computer vision and machine learning for AI dash cameras – delivering real-time driver safety insights and in-cab alerts. As a Sr. Manager of Machine Learning, you will lead teams that fuse on-device computer vision with IMU, GPS, and vehicle diagnostic data to detect, interpret, and surface actionable safety events and continuous risk signals. You’ll own the model lifecycle across edge and cloud – data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration—and develop the core AI platform that powers these capabilities at fleet scale. You’ll partner closely with firmware, full-stack, and Platform teams to ship reliable, low-latency features, grounding detections in the “rules of the road” (e.g., stop signs and speed limits) to maximize precision and customer impact.
Key Responsibilities:
- Lead teams of scientists and engineers working on CV, sensor fusion, and ML.
- Help architect, build, and improve solutions for hybrid cloud-edge ML.
- Actively contribute to building the roadmap for AI products.
- Stay connected to industry and academic research and adopt novel technology.
- Hire, develop and lead an inclusive, engaged, and high performing team.
Minimum Requirements:
- BS or MS in Computer Science or other technical degree.
- 7+ years relevant technical experience with AI systems.
- 6+ years relevant software engineering work experience.
- 5+ years of experience leading large software and science teams including senior ICs.
- Experience building and deploying large-scale machine learning systems with feedback loops.
- Comfortable leading full-stack / backend development in addition to science and research.
Preferred Qualifications:
- MS or PhD in Computer Science or other technical degree.
- Proven track record for innovation and delivering value to customers using AI.
- Experience building, deploying, and optimizing AI systems that span edge devices and the cloud.
- Experience building products and solutions that rely on CV or sensor fusion.