Samsara, founded in 2015, is a leader in Industrial IoT and our mission is to increase the efficiency, safety, and sustainability of the operations that power our economy. Our solutions combine hardware and software to bring real-time visibility, analytics, and AI to operations across various industries. Samsara’s fast-growing team is headquartered in San Francisco, with offices in San Jose, Atlanta, and London. Our team has raised over $530M from Andreessen Horowitz, General Catalyst, Tiger Global, and Dragoneer.
Samsara is seeking an applied machine learning engineer to join our San Francisco-based team. We build systems that utilize and integrate several kinds of sensor data(cameras, gps, accelerometer, vehicle obd, etc.) to improve efficiency and increase safety for our fleet customers. Our primary focus is building features for our intelligent dual-facing dashcam product.
In this role you will design and develop the machine learning models and infrastructure that power Samsara's intelligence features. You will work on a small team to identify solutions to product problems and build out the necessary end-to-end supporting systems. This team builds software for both our cloud platform and edge devices. Sample applications include ADAS algorithms such as lane-departure detection or time-to-collision estimation, activity recognition for distracted driving, automatic camera calibration, and detecting anomalies in time-series sensor data.
A Software Engineer, Machine Learning (Vehicle Safety Applications) may work on:
Retraining or optimizing open-source models to solve Samsara-specific problems,
Building the backend or edge infrastructure to scale our training and inference workload,
Building the customer-facing components of a vision or ML feature
Championing, role modeling, and embedding Samsara’s cultural principles (Obsess Over the Customer, Build for the Long Term, Growth Mindset) as we scale globally and across new offices
At Samsara, we welcome all. All sizes, colors, cultures, sexes, beliefs, religions, ages, people. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.