Senior ML Engineer — Remote, Production-Grade AI

Samsara; Oregon; Hybrid; USD 170,000 - 286,000; Full time

Benefits offered by this job

Flexible remote work model

Professional development stipend

Health and parental leave

Job summary

Samsara is hiring a Machine Learning Engineer to own the cloud-side path from model artifacts to production systems for Safety AI's ML applications. You will design low-latency ML APIs, build scalable data pipelines, and productionize artifacts handed off by applied scientists for fleet-scale deployment.

The role emphasizes reliability, drift monitoring, and impact across millions of vehicles, with a flexible remote model for candidates in the US or Canada.

Qualifications

• 6+ years of experience as a Machine Learning Engineer or similar role, with a track record of shipping models in production.
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala).
• Proficiency with common ML tools (e.g. Ray/Ray Serve, MLflow, Grafana, Pytorch, Spark, etc)
• Experience deploying and iteratively refining models using real customer feedback loops.
• Comfort with full-stack/backend development — you understand the data structures and dependencies underneath your models.
• BS or MS in Computer Science or a related quantitative field.

Responsibilities

• Design Production ML APIs: Architect and maintain reliable, low-latency APIs to integrate Safety AI model outputs directly into cloud applications.
• Build Data Flywheels: Construct scalable pipelines to power continuous model iteration, backtesting, shadow and online evaluation, enabling fast and safe deployments.
• Optimize & Serve Artifacts: Productionize model artifacts handed off by applied scientists, optimizing serving logic and fine-tuning models for platform-specific workloads.
• Petabyte-Scale Operations: Process high-volume camera and sensor telematics data to support model execution, backtesting, and automated dataset curation.
• Monitor & Maintain Rollout Health: Build systems to track model drift, precision/recall, and latency regressions in production, ensuring predictable failure modes and closed-loop data feedback.
• Cross-Functional System Integration: Partner with firmware and platform teams to optimize edge-to-cloud model execution, balancing latency, throughput, and infrastructure cost.
• Product Collaboration: Work with product managers to translate safety requirements into scalable technical architectures.
• Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Skills

C++

Golang

Java

Python

Scala

Education

BS or MS in Computer Science

Tools

Ray Serve

MLflow

Grafana

PyTorch

Spark

Docker

Kubernetes

Job description

Samsara is hiring a Machine Learning Engineer to own the cloud-side path from model artifacts to production systems for Safety AI's ML applications. You will design low-latency ML APIs, build scalable data pipelines, and productionize artifacts handed off by applied scientists for fleet-scale deployment.

The role emphasizes reliability, drift monitoring, and impact across millions of vehicles, with a flexible remote model for candidates in the US or Canada.