Overview
Have you ever wanted to build machine learning models that physically move the needle for the entire global economy? At Samsara, we are transforming industries like transportation, construction, and manufacturing by turning real-world IoT data into actionable intelligence. This is a fully remote, worldwide opportunity where you can write code that matters from the comfort of your home office. You will join our collaborative Machine Learning and Computer Vision team, creating end-to-end applications that directly power our core product pillars.
Key Responsibilities
- Design, train, and deploy cutting-edge machine learning and computer vision models at scale.
- Collaborate closely with product and engineering teams to turn complex ideas into production-ready features.
- Own the entire lifecycle of ML solutions from initial research and prototyping to monitoring in production.
- Optimize models for performance, latency, and accuracy across diverse edge devices.
- Drive technical excellence by mentoring peers and sharing best practices across the engineering organization.
Requirements
- Advanced degree in Computer Science, Machine Learning, or a related technical field with professional experience to match.
- Deep expertise in machine learning frameworks such as PyTorch or TensorFlow.
- Strong background in computer vision, deep learning, or applied AI engineering.
- Proven track record of taking complex models from research all the way to production environments.
- Solid software engineering fundamentals with proficiency in Python and modern development workflows.
What You'll Gain
- The autonomy and support to make a massive impact at a publicly traded technology pioneer.
- Competitive compensation and benefits designed to take care of you and your family.
- A flexible, remote-first work environment that empowers you to balance life and ambition.
- Opportunities to collaborate with brilliant minds who are defining the future of physical operations.
How to Apply
Click the apply button below to view the full job details and submit your application directly through the employer's official page.

