Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning and AI, with a strong background in developing end-to-end ML applications. You are proficient in Python and have hands-on experience with frameworks such as TensorFlow and Keras, allowing you to build robust models that drive impactful insights. Your familiarity with cloud platforms, particularly AWS, enables you to deploy scalable solutions effectively. You are comfortable working with data and have a solid understanding of SQL for data manipulation and analysis. You thrive in collaborative environments, working closely with scientists and engineers to deliver innovative solutions that enhance operational efficiency.

Desirable

Experience with IoT data and its applications in real-world scenarios is a plus. Familiarity with data pipelines and tools for model training and deployment will set you apart. You are eager to learn and adapt to new technologies, contributing to the continuous improvement of ML processes within the team.

What you'll do

As a Senior Machine Learning Engineer at Samsara, you will be responsible for designing and implementing machine learning models that address complex challenges in physical operations. You will collaborate with cross-functional teams, including data scientists and software engineers, to develop solutions that leverage IoT data for actionable insights. Your role will involve optimizing existing models and ensuring they are scalable and efficient. You will also participate in code reviews and contribute to the overall architecture of ML systems, ensuring best practices are followed. You will have the opportunity to mentor junior engineers, sharing your expertise and fostering a culture of learning within the team.

What we offer

Samsara provides a dynamic work environment where innovation is encouraged. You will have the autonomy to make impactful decisions and contribute to projects that shape the future of physical operations. We offer competitive compensation, including equity options, and a comprehensive benefits package. Our remote work policy allows you to maintain a healthy work-life balance while being part of a mission-driven team that values collaboration and growth. Join us in transforming industries and making a difference in the world through technology.