Tempo

Live home fitness training powered by computer vision.

Hiring — 3 openYC-W15Healthcare -> Consumer Health and WellnessGrowth

What Tempo does

SmartSpot is a post Series-A stealth 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.

3 open roles

Machine Learning Engineer
San Francisco, CAFull-time1+ years$100K - $200K0.10% - 1.00% equityVisa: US citizen/visa only
What the role involves

At SmartSpot, you'll be responsible for improving our pipeline for processing 3D data of human exercise and for deepening our engines for workout recommendations, difficulty scaling, and personalization. We're looking for a creative problem solver who has broad knowledge of a variety of fields within machine learning, and is interested in building real world solutions that impact our customers directly. Basic Qualifications B.A./B.S. in Computer Science or related technical field or equivalent practical experience 3+ years programming experience in C++ 2+ years of work experience in Machine Learning or Artificial Intelligence. Strong mathematical background (3D geometry, linear algebra, numerical methods, algorithms) Preferred Qualifications 2+ years experience with Python Familiarity with the state of the art in supervised learning research Immediate availability

C++CUDAMachine LearningPython
Senior Front End Engineer
San Francisco, CAFull-time3+ yearsVisa: US citizen/visa only
What the role involves

What if everyone could afford the trainers and scientists that help Steph Curry achieve his optimal athletic performance? Enter Pivot: the first connected home gym that can literally see your workout and use that data to give you a richer, more effective, and safer fitness experience in live and on-demand classes. Our advanced computer vision technology empowers expert instructors to train and motivate you from a distance, with AI-powered motion sensors that count your reps and correct your form in real-time. Launching with a variety of strength training classes and programs proven to get results, and packaged in a sleek design, Pivot includes all the weights and accessories you need to get an amazing workout in the comfort of your home and on your time, whether your goal is to trim down, tone up, or simply feel your best. Pivot is the first and only connected home gym that can see your workout and use that data to give you a richer and more effective experience in live classes led by expert trainers. $17.5M in funding from DCM, Founders Fund, Khosla, SignalFire, Bling, and Y Combinator Team includes alumni from Google, Pixar, Airbnb, YouTube, Netflix, and Orangetheory This Role You'll be responsible for developing features for the Pivot service. We're looking for a flexible, curious applicant with expertise in front end technologies, including React and front end dev tooling. We have an exciting and ambitious feature set planned, and you will primarily be working in React + TypeScript to bring these new features to life. You'll also iterate on the tools our trainers and computer vision engineers use to enable our cutting-edge workout experience. The ideal candidate has experience shipping clean, maintainable code for consumer products. Basic Qualifications 3+ years working with React + TypeScript Expertise with front end dev tooling, like Yarn and NPM Familiarity with Git and agile best practices CI experience (Travis, Circle, Jenkins, etc) Legally authorized to work in the United States Preferred Qualifications Experience with Linux programming M.S. degree in Computer Science Passion for fitness Immediate availability

ReactTypeScript
Sr Computer Vision Engineer
San Francisco, CAFull-timeAny (new grads ok)$180K - $225K0.05% - 0.11% equityVisa: US citizen/visa only
What the role involves

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

C++ComputDeep LearningMachine LearningOpenGLPython

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