Senior Manager, Safety AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Guide teams in developing comprehensive computer vision and machine learning solutions for AI dash cameras.

• Take ownership of the technical strategy for both on-device and cloud-based safety AI systems.

• Make architectural choices regarding constrained edge hardware versus cloud deployment.

• Package and deploy models across over 2 million dashcams.

• Create a data flywheel to enable ongoing model enhancement.

• Spearhead the transition to a system-level platform that integrates camera, IMU, GPS, and vehicle telemetry data.

• Assess and incorporate emerging AI technologies, such as VLMs, foundation models, and multi-task architectures.

• Collaborate with product and full-stack teams to define, scope, and deliver safety features.

• Direct experiment design, conduct offline/online evaluations, and make go/no-go decisions.

• Manage data curation, training, evaluation, deployment, monitoring, and iteration through the model lifecycle.

• Lead and develop applied scientists and engineers specializing in computer vision, sensor fusion, and edge ML.

• Recruit, mentor, and cultivate senior individual contributors and early-career professionals.

• Establish architectural direction while assessing modeling methods and resolving technical challenges.

• Advocate for Samsara’s cultural principles and a customer-centric approach.

⛳️ Requirements

• 8+ years of experience in applied machine learning or computer vision, consistently delivering models to production in real-world applications.

• 5+ years of experience leading technical teams comprised of scientists and engineers, including senior individual contributors.

• Proven experience in deploying CV and/or sensor fusion systems that integrate camera, IMU, GPS, and telemetry data in production settings.

• Strong ability to navigate the trade-offs between science and engineering and convey these effectively.

• Experience in constructing and implementing large-scale machine learning systems with feedback mechanisms for continuous enhancement.

• Proficient in building, deploying, and optimizing AI systems that span both edge devices and cloud environments.

• Familiarity with VLMs, foundation models, or multi-task architectures in live settings.

• Background in autonomous vehicles, robotics, or fleet telematics is preferred.

• An MS or PhD in Computer Science, Electrical Engineering, or a related technical discipline is preferred.

• Candidates must reside in the United States.

• Willingness to travel up to 5% of the time.

• Must have the legal right to work at Samsara and in the specified work location.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous RSU refresh opportunities linked to performance.

• Performance-based bonus or variable pay.

• Equity options available for eligible positions.

• Flexible, employee-driven remote work model.

• Professional development stipend available.

• Comprehensive health coverage plans.

• Parental leave benefits.

• Flexible working arrangements.

• Support for remote work.

• Commitment to equal opportunity and reasonable accommodations.