iSport is embarking on a journey to change the way we think about being active and we’re looking for passionate and motivated individuals to join our team. Our goal is to truly connect people to the sports they love through state-of-the-art activity monitors and an engaging, relevant, and social online platform. Our Connecticut-based team is lead by a management team with years of experience in building state-of-the-art motion tracking products. By joining our team you will help to create products that push the limits of technology while helping individuals better connect to the sports they love to play.
We are looking for a motivated and creative computer scientist or mathematician to work in our Connecticut office. This position requires experience in the application of machine learning and statistical analysis to solve complex problems related to signal process, motion analysis, and recommendation engines. If you have a Strong theoretical knowledge of programming, statistics, modeling, signal processing and machine learning. Ability to turn creativity, theory, process and hard word into a product.
Lead the research and development of a multivariate product recommendation engine
Lead the research and development of sensor-based motion recognition algorithms
Work closely with product development and marketing to understand key requirements and variables
Work with development teams to implement designed algorithms
Report directly to the VP of Biometrics and Engineering
Education Required: B.S. or M.S. in Computer Science, Statistics, Mathematics or equivalent (surprise us)
Experience in using machine learning (supervised and unsupervised learning techniques)
Data mining experience across large and novel datasets
Specific Technical Requirements (some/all desired):
Statistical modeling - CART, HMM, SVM, Regression, etc. using R, Matlab, SAS, or other common statistical packages.
Signal processing and filtering
Algorithmic complexity analysis
Inertial measurement and position / orientation estimation / Kalman filters
Experience working with various sensors (accelerometer, magnetometer, gyroscope, barometer, GPS)