Senior ML Engineer: Production-Scale Safety AI (Remote)

Antler; United States; On-site; USD 170,000 - 286,000; Full time

Benefits offered by this job

Flexible working

Job summary

Samsara is seeking a senior ML Engineer to own the cloud-side path from model artifact to production systems for Safety AI. You will design low-latency ML APIs and scalable data pipelines, partnering with scientists and engineers to deploy high-stakes models at scale.

The role emphasizes production readiness, monitoring model drift and latency, and collaboration with cross-functional teams to deliver reliable safety features for millions of devices. Remote within US/Canada.

Qualifications

• 6+ years of experience as a Machine Learning Engineer or similar role, with a track record of shipping models in production.
• Proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala).
• Proficiency with ML tools (e.g. Ray/Ray Serve, MLflow, Grafana, Pytorch, Spark).
• 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.

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 as we scale globally and across new offices.

Skills

C++

Golang

Java

Python

Scala

Education

BS/MS in Computer Science

PhD in CS or quantitative field

Tools

Ray Serve

MLflow

Grafana

PyTorch

Spark

Job description

Samsara is seeking a senior ML Engineer to own the cloud-side path from model artifact to production systems for Safety AI. You will design low-latency ML APIs and scalable data pipelines, partnering with scientists and engineers to deploy high-stakes models at scale.

The role emphasizes production readiness, monitoring model drift and latency, and collaboration with cross-functional teams to deliver reliable safety features for millions of devices. Remote within US/Canada.