Samsara
Lead Machine Learning Engineer - ML Infrastructure
$200K–$358K
Remote - US +1 · Remote · Full-time · Posted Mar 24, 2026
- Location
- Remote - US
Remote - Seattle - Experience
- 10+ years in machine learning engineering.
- Visa sponsorship
- All offers are contingent on the ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
About the job
Leads the architecture and delivery of Samsara’s end-to-end ML platform for Safety AI, from model training and experimentation through cloud inference and edge deployment.
What you'll do
- Set platform strategy and own delivery across training, experimentation, inference, and edge deployment for multiple Safety AI teams.
- Co-own production outcomes for AI features and build scalable inference systems and edge-to-cloud model feedback loops.
- Lead reliability, observability, security, and cross-functional technical decisions; mentor engineers and scientists.
What they ask for
- 10+ years in machine learning engineering, with technical lead ownership of at least two major ML platform domains serving multiple product teams at scale.
- Record of shipping ML-powered features end-to-end with measurable product or business impact.
- Production expertise with Ray and Kubernetes.
- Deep ML fundamentals, including evaluation, dataset design, ablation, and drift; demonstrated cross-organizational technical leadership.
Nice to have
- Spark experience; open-source contributions to Ray, Spark, RayDP, or Kubernetes.
- Enterprise security/compliance experience in ML environments; edge/on-device ML and firmware/embedded experience.
Pay
$200,200 — $357,500 USD (annual base salary)
Tools
Ray, Kubernetes, Spark, RayDP
AI focus
Leads ML infrastructure for Safety AI, supporting CV models, EcoDriving insights, and LLM-based reporting; owns model training, experimentation, inference, and edge deployment.
Model-written summary · the original posting is authoritative