Senior Machine Learning Engineer

Samsara is the pioneer of the Connected Operations™ Cloud, which enables organizations to harness IoT data to improve operations. The role involves designing and shipping customer-facing ML features and owning architectural decisions while collaborating with applied scientists.

Responsibilities:

• Be the first dedicated MLE in a product‑ML org - influence architecture, launch production ML products, and define how MLEs partner with applied scientists across ~30 people in the broader data organization
• Work on customer‑facing systems (crash risk, anomaly detection, predictive maintenance) using rich GPS/IMU/telemetry, fleet video, and maintenance logs - models that directly reduce risk, saving lives and operational costs
• Role includes ML infrastructure (feature design, online serving, batch & streaming pipelines) and product ownership - not just productionizing models but owning end‑to‑end decisions and tradeoffs
• The team encourages prototyping (including GenAI/CV layers where appropriate), and the hiring manager is open to shaping the role to include modeling ownership or team expansion for senior candidates

Requirements:

• 5+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role
• BS or MS in Computer Science or another quantitative field
• Strong proficiency in one or more common languages (e.g., Python, Java, C++, Golang)
• Proficiency with common ML tools and frameworks (e.g., PyTorch, TensorFlow, Spark)
• A working understanding of the algorithms you will bring to life
• Proven experience with the E2E ML application development
• Experience leading a small cross-functional team to deliver new ML experiences
• Experience building zero-to-one ML applications