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 lead 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 be responsible for enabling rigor in the machine learning practices that underly Samsara's intelligence features. This role also includes building production software both on the edge and in our cloud service, with a computer vision pipelining focus. 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 Machine Learning Lead may work on:
Mentoring colleagues on machine learning and computer vision best practices,
Posing product problems as machine learning problems, or
Cleaning training data and designing appropriate annotation label schema
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.