Samsara is looking to improve the safety, efficiency, and sustainability of physical operations by harnessing Internet of Things (IoT) data to develop actionable insights and improve operations.
Requirements
- Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala)
- Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
- Experience deploying and iteratively refining models using customer feedback loops
- Comfortable with full-stack/backend development code to build a strong understanding of underlying data structures and other dependencies
- Experience with containerization technologies (e.g., Docker, Kubernetes), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code (IaC) frameworks
- Familiar with deploying and managing ML applications in cloud environments, as well as leveraging cloud-based services for data storage, processing, and inference
- Experience building end-to-end ML applications from scratch
Responsibilities
- Design and implement ML APIs for seamless integration of machine learning models into cloud-based applications
- Build and maintain data pipelines to support the continuous training and improvement of machine learning models, contributing to the development of a data flywheel
- Implement support for A/B testing and online evaluation of machine learning models to facilitate rapid iteration and deployment
- Partner with firmware and full-stack teams to deploy model for optimal performance and cost
- Research and evaluate emerging technologies and methodologies in machine learning to drive innovation and improvement in our ML application systems
- Collaborate with PM to translate customer needs to ML solutions
- Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices
Other
- BS or MS in Computer Science or other relevant field
- 4+ years of experience as a Machine Learning Engineer or similar role
- Ability to work in a remote position for candidates based in the US
- Must be able to secure and maintain the legal right to work at the company and in the specified work location, if applicable
- Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics) is a plus
