Samsara
Senior Machine Learning Engineer
$170K–$286K
Remote - US +1 · Remote · Senior · Full-time · Posted Sep 10, 2026
- Location
- Remote - US
Remote - SF Bay Area - Experience
- 6+ years as a Machine Learning Engineer or similar role.
- Education
- BS or MS in Computer Science or a related quantitative field.
- Visa sponsorship
- Candidates must be able to secure and maintain the legal right to work in the company and specified work location.
About the job
Build and operate cloud-scale ML backend systems that productionize Safety AI model artifacts into reliable, low-latency safety features.
What you'll do
- Design production ML APIs and scalable pipelines for model iteration, backtesting, evaluation, and deployment.
- Optimize model serving and process large camera and telematics datasets for execution and dataset curation.
- Monitor rollout health, model quality, drift, and latency; partner across science, firmware, platform, and product teams.
What they ask for
- 6+ years as a Machine Learning Engineer or similar, with a track record of shipping production models.
- Strong proficiency in one or more of C++, Golang, Java, Python, or Scala; proficiency with common ML tools.
- Experience refining deployed models using real customer feedback loops and comfort with backend/full-stack development.
- BS or MS in Computer Science or a related quantitative field.
Nice to have
- Ph.D. in Computer Science or a quantitative discipline.
- Experience with Docker, Kubernetes, CI/CD, infrastructure-as-code, cloud ML applications, safety-critical or high-scale deployments, or GPU-distributed training.
Pay
$170,170 — $286,000 USD annual base salary
Tools
C++, Golang, Java, Python, Scala, Ray/Ray Serve, MLflow, Grafana
AI focus
Productionize Safety AI models for driver alerts, risk signals, and coaching insights; build cloud serving, evaluation, monitoring, and feedback systems.
Model-written summary · the original posting is authoritative