[Hiring] Senior Manager, Safety AI @Samsara

Role Description

The Safety AI team builds end-to-end computer vision and machine learning for Samsara’s 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.
• Own the model lifecycle across edge and cloud – data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration.
• Develop the core AI platform that powers these capabilities at fleet scale.
• Partner closely with firmware, full-stack, and Platform teams to ship reliable, low-latency features.
• Ground detections in the “rules of the road” (e.g., stop signs and speed limits) to maximize precision and customer impact.

Your success will be measured by:

• Safety events caught.
• Accident rates reduced.
• Model reliability at production scale.
• The velocity at which your team can move from research idea to deployed feature on real vehicles driven by real people.

This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

Qualifications

• 8+ years of experience in applied ML or computer vision, with a strong track record of shipping models to production in real-world systems.
• 5+ years leading technical teams of scientists and engineers, including senior ICs — with demonstrated ability to set technical direction, not just manage delivery.
• Experience shipping CV and/or sensor fusion systems that fuse multiple data streams (e.g. camera, IMU, GPS, telemetry) in production environments.
• Demonstrated ability to navigate science-engineering tension: you know when to hold the platform line and when to adapt for research velocity, and you can communicate trade-offs clearly to both sides.
• Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.

Requirements

• Customer orientation and intensive focus on improving the customer experience.
• Experience building, deploying, and optimizing AI systems that span edge devices and the cloud.
• Experience with VLMs, foundation models, or multi-task architectures in production settings — particularly in constrained compute environments.
• Background in AV, robotics, or fleet telematics domains where safety and reliability are first-class requirements.
• Contributions to or deep familiarity with the academic research literature in CV and perception and the ability to evaluate what's worth bringing in from research and what isn't.
• MS or PhD in Computer Science, Electrical Engineering, or a related technical field.

Benefits

• The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• Working on our Samsara Engineering teams requires a mix of independent effort and collaboration.