Remote Senior Safety AI Leader — Edge & Cloud ML for Fleets

Samsara; Berkeley (CA); Remote; USD 179,000 - 287,000; Full time

Benefits offered by this job

RSU grant

Total rewards

Job summary

Samsara is seeking a Sr. Manager of Machine Learning to lead the Safety AI team developing edge and cloud computer vision solutions for vehicle safety.

You will own data curation, training, evaluation, deployment, monitoring, and iteration across fleet-scale systems. You will collaborate with firmware, full-stack, and Platform teams to deliver low-latency, high-precision safety features that improve driver safety and reduce accidents, while growing a high-performing team of scientists and

Qualifications

• 8+ years of experience in applied ML or computer vision.
• 5+ years leading technical teams of scientists and engineers.
• Experience shipping CV and/or sensor fusion systems in production.
• Ability to communicate trade-offs clearly to both technical and non-technical audiences.
• Experience building and deploying large-scale ML systems with feedback loops.

Responsibilities

• Own the technical direction for Samsara's on-device and cloud safety AI systems.
• Lead the transition from individual model deployments to a coherent platform.
• Evaluate and integrate emerging AI capabilities and determine production readiness.
• Partner with product and full-stack teams to define and ship safety features.
• Lead experiment design, offline/online evaluation, and go/no-go decisions.
• Hire, coach, and develop senior ICs and early-career talent.

Skills

Applied ML experience

Computer vision

Leadership of technical teams

Production ML deployment

Edge/cloud ML systems

Data-driven decisions

Education

MS/PhD in CS/EE or related

Job description

Samsara is seeking a Sr. Manager of Machine Learning to lead the Safety AI team developing edge and cloud computer vision solutions for vehicle safety.

You will own data curation, training, evaluation, deployment, monitoring, and iteration across fleet-scale systems. You will collaborate with firmware, full-stack, and Platform teams to deliver low-latency, high-precision safety features that improve driver safety and reduce accidents, while growing a high-performing team of scientists and