At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams.
Key Responsibilities
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.
This is a remote position open to candidates residing in the United States except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.
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 at Samsara.
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Hire, develop and lead an inclusive, engaged, and high performing team.
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 for continuous improvement.
Comfortable leading full-stack / backend development in addition to science and research.
MS or PhD in Computer Science or other technical degree.
Proven track record for innovation and delivering value to customers using AI.
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 building products and solutions that rely on CV or sensor fusion.
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
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$287,100 USD
Benefits & Perks
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.
Ready to Apply?
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