Machine Learning Engineer

Tempo is an innovative Series B consumer fitness startup that's revolutionizing home workout experiences through advanced computer vision technology. Backed by prominent investors including Founders Fund and Khosla Ventures, Tempo is building the future of personalized fitness training.

As a Machine Learning Engineer at Tempo, you'll be at the forefront of developing sophisticated AI systems that power their unique hardware solution. The role involves working on critical components of their technology stack, including 3D data processing pipelines, workout recommendation engines, and personalization systems. This position offers an exciting opportunity to work on real-world applications of computer vision and machine learning that directly impact users' fitness journeys.

The ideal candidate should have a strong foundation in computer science, with specific expertise in C++ programming and machine learning. The role requires both theoretical knowledge (mathematics, 3D geometry, algorithms) and practical experience in implementing AI solutions. You'll be part of a team that's creating technology that enables trainers to provide detailed, real-time feedback to class participants, something previously only possible in in-person settings.

This is an excellent opportunity for a machine learning engineer who wants to work on challenging technical problems while making a tangible impact on people's health and fitness. The position offers competitive compensation, including both salary and equity components, reflecting the company's growth stage and the importance of this role in their technical team.