Description
Samsara is hiring a Lead Machine Learning Infrastructure Engineer to serve as the technical anchor for ML infrastructure across Samsara's Safety AI organization.
You will own the architecture and evolution of our end-to-end ML platform , spanning training, experimentation, inference, and edge deployment across more than 2M deployed devices , and be the connective tissue between applied ML teams, security, and data platform.
Responsibilities:
- ML Platform & Infrastructure: Set the technical strategy and own end-to-end delivery of Samsara's ML platform (training, experimentation, batch/online inference, edge)
- Experimentation & Measurement: Drive the design, launch, and iteration of Safety AI features
- Inference & Edge Deployment: Design and operate scalable online and batch inference systems
- Reliability, Security & Operations: Own reliability, observability, and security for ML systems across cloud and edge
- Leadership & Culture: Be the technical authority for ML infrastructure architecture across Safety AI
Requirements:
- 10+ years in machine learning engineering, with demonstrated tech lead ownership of at least two major ML platform domains
- Proven record of shipping ML-powered features end-to-end , from design through production and iteration , with measurable impact on product or business metrics
- Hands-on Ray and Kubernetes expertise in production environments; Spark experience strongly preferred
- Deep understanding of ML fundamentals beyond pipelines: evaluation methodology, dataset design, ablation, drift, and the ability to review and redirect modeling approaches
Benefits:
- Flexible working model that caters to the diverse needs of our teams
- Comprehensive health and parental leave plans
- Professional development stipend
- Equity (for eligible roles) in a high-growth public company