Senior Manager, Safety AI

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy a...

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.

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.
Your success will be measured by real outcomes: safety events caught, accident rates reduced, model reliability at production scale, and the velocity at which your team can move from research idea to deployed feature on real vehicles driven by real people.

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.
Customer orientation and intensive focus on improving the customer experience.
Experience building, deploying, and optimizing AI systems than 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.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Annual Base Salary
$178,640—$287,100 USD
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working 
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment