Senior Machine Learning Engineer

Who you are

You have 5+ years of experience in machine learning and data science, with a strong foundation in developing and deploying machine learning models. Your expertise in Python and libraries such as TensorFlow and Keras allows you to build robust ML applications that drive business impact. You are familiar with cloud platforms like AWS and have experience with containerization technologies such as Docker, enabling you to create scalable and efficient ML solutions. Your analytical mindset helps you derive insights from complex datasets, and you are comfortable working with SQL for data manipulation and querying. You thrive in collaborative environments, working closely with cross-functional teams to deliver impactful solutions. We encourage you to apply even if your experience doesn't match every requirement.

What you'll do

As a Senior Machine Learning Engineer at Samsara, you will be responsible for designing and implementing end-to-end machine learning applications that support various product pillars. You will collaborate with engineering teams across ML, full-stack, and firmware to deliver core infrastructure and services that enhance our product offerings. Your role will involve optimizing existing ML models and developing new algorithms to improve operational efficiency and safety. You will also engage in data preprocessing and feature engineering to ensure high-quality inputs for your models. Additionally, you will participate in code reviews and contribute to best practices in ML development, ensuring that your team adheres to high standards of quality and performance. Your contributions will directly impact the safety and sustainability of physical operations across industries.

What we offer

At Samsara, you will be part of a pioneering team that is transforming physical operations through innovative technology. We offer a competitive salary and benefits package, including flexible work arrangements and opportunities for professional growth. You will have the autonomy to make significant contributions to our mission of improving operational efficiency and sustainability. Join us in shaping the future of connected operations and making a positive impact on industries that are vital to our global economy.