Sr Computer Vision Engineer

Tempo is an innovative Series B consumer fitness startup that's revolutionizing home fitness training through advanced computer vision technology. Backed by prominent investors like Founders Fund and Khosla Ventures, they're creating a unique hardware solution that enables trainers to provide real-time, detailed feedback to participants - something previously only possible in person.

As a Sr Computer Vision Engineer at Tempo (formerly SmartSpot), you'll play a crucial role in enhancing their computer vision pipeline for processing 3D data of human exercise. The ideal candidate should be flexible and curious, with a strong background in computer vision, particularly real-time applications. The role requires expertise in C++ programming and a solid foundation in mathematics, including 3D geometry and linear algebra.

The position offers an attractive compensation package ranging from $180K to $225K, plus equity (0.05% - 0.11%). The company, founded in 2014, has grown to a team of 158 people and maintains an active presence in San Francisco. Their mission to transform home fitness through technology makes this an exciting opportunity for someone passionate about combining computer vision with practical applications in the fitness industry.

Preferred qualifications include experience with TensorFlow, industry experience in Computer Vision, Python programming skills, and familiarity with state-of-the-art Computer Vision research. This role offers the chance to work on cutting-edge technology that directly impacts how people exercise and receive fitness training at home.