Senior Machine Learning Engineer

November 21

Apply Now

Receive Emails with Similar Jobs

Samsara

WebsiteLinkedInAll Job Openings

Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

📋 Description

• Design and build the ML infrastructure that powers batch and real-time models for customer-facing products. • Lead zero-to-one ML/AI initiatives to develop innovative products from scratch. • Bridge the gap between ML scientists and engineering teams, enabling the success of cross-functional projects. • Be a thought leader for ML operations on our team, building out new inference capabilities while enhancing the scalability and efficiency of our existing platform. • Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices.

🎯 Requirements

• 5+ years experience as a 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.

🏖️ Benefits

• Employee-led remote and flexible working • Health benefits • Competitive total compensation package • RSUs for eligible roles • Annual RSU refresh grants