At a glance
Improve Tempo’s real-time computer vision pipeline for 3D human-exercise data, using C++, Python and deep learning to power personalized, in-home fitness coaching.
Summarized by AI from the original posting
What you'll do
- Improve the computer vision pipeline for processing 3D data of human exercise
Requirements
- 01Strong mathematical background
- 02Familiarity with the state of the art in Computer Vision research
- 03Real-time computer vision preferred
- 04Immediate availability
Skills
Full description
At SmartSpot, you'll be responsible for improving our computer vision pipeline for processing 3D data of human exercise. We're looking for a flexible, curious applicant with a background in computer vision (real-time computer vision preferred).
Basic Qualifications
- B.A./B.S. in Computer Science or related technical field or equivalent practical experience
- 3+ years programming experience in C++
- Strong mathematical background (3D geometry, linear algebra, numerical methods, algorithms)
Preferred Qualifications
- Experience with TensorFlow
- 2+ years industry experience in Computer Vision
- 2+ years experience with Python
- Familiarity with the state of the art in Computer Vision research
- Immediate availability
About Tempo
Tempo is a Series B consumer fitness startup backed by Founders Fund and Khosla Ventures that uses computer vision to deliver an unparalleled fitness training experience to your home. Our unique hardware solution gives amazing trainers the ability to see their class participants in real time and deliver detailed advice that was previously only possible in person.
Compensation: $180K - $225K
Skills: C++, Python, Machine Learning, Deep Learning, OpenGL, Computer Vision
Experience: Any (new grads ok)