Machine Learning Scientist

Samsara, the pioneer of the Connected Operations™ Cloud, is seeking a Machine Learning Scientist to join their ML Experience team. This role is crucial in developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations that power the global economy. As an Applied Scientist, you'll work on end-to-end ML applications, collaborating with engineering teams across ML, full-stack, and firmware, as well as cross-functional partners.

The ideal candidate should have a strong background in Computer Science or a related field, with at least 2 years of experience in applied machine learning. Proficiency in languages like Python, C++, or Java, and familiarity with ML tools such as TensorFlow and PyTorch is essential. Experience with large-scale ML systems and full-stack development is crucial.

Key responsibilities include architecting hybrid cloud-edge ML solutions, driving new ML initiatives, and optimizing model training and deployment processes. The role offers opportunities to work on cutting-edge technologies and make a real-world impact across various industries.

Samsara offers a competitive compensation package, including a base salary range of $109,480 to $184,000 USD, along with potential equity awards. The company provides flexible working arrangements, comprehensive health benefits, and supports career growth in a rapidly expanding environment.

This remote position is open to candidates residing in the US, excluding specific areas around San Francisco and New York City. Join Samsara to be part of a team shaping the future of physical operations and enjoy a culture that values innovation, inclusivity, and personal growth.