# Lead Machine Learning Engineer - ML Infrastructure

**Company**: Samsara
**Location**: Remote - US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $200,200-$357,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/samsara/jobs/7721193?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8a14be96-33d

## 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

## Skills

### Required
- Machine Learning
- ML Engineering
- Ray
- Kubernetes
- Spark
- Cloud Computing
- Edge Deployment

### Nice to have
- Open Source Projects
- Enterprise Security
- Compliance
- Edge/On-Device ML
- Firmware/Embedded Teams

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/samsara/jobs/7721193?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)