Requirements: Minimum GPA of 3.5 Must have a computer science/programming background Must have taken a machine learning course Top 25 Computer Science school Willing to work for a fully distributed remote company Part-time during the school year
We are seeking a highly qualified Machine Learning Intern to join our team. Percolata is a fully distributed workforce and the compensation is equity-based. This position will require the individual to work with all aspects of the engineering team, helping to improve the accuracy and completeness of our models.
Position Description: Design, develop, and implement machine learning models Design advanced neural network training strategies Generate and maintain design documentation Work closely with a highly skilled, multidisciplinary team of engineers
Qualification: 2+ years’ experience programming Python Deep learning/neural network knowledge 2+ years’ experience with relational databases and SQL programming Experience with Keras, Panda, numpy, scipy, PyTorch and Tensorflow is a plus Solid communication skills Currently enrollment in relevant program Legal authorization to work in USA Time series forecasting experience desired
Backed by Silicon Valley's top VC firms (Andreessen Horowitz, Menlo Ventures, Google Ventures, Foundation Capital, and more). Percolata Forecast as a Service (FaaS) gathers and forecast shopper traffic and transactions with 4x higher accuracy for retailers using weather forecasts, marketing calendars, and other data via proprietary deep learning technology. The service reduces labor cost by 2-5% while improving revenue by 1-5%. Percolata’s cloud-based forecaster also lowers inventory costs while improving marketing effectiveness. Ecommerce retailers have also used FaaS to give third-party logistics companies the required forecast accuracy needed to gain promised service levels. Percolata FaaS is a fully managed turnkey service.
Requirements: Minimum GPA of 3.5 Must have a computer science/programming background Must have taken a machine learning course Top 25 Computer Science school Willing to work for a fully distributed remote company Part-time during the school year
We are seeking a highly qualified Machine Learning Intern to join our team. Percolata is a fully distributed workforce and the compensation is equity-based. This position will require the individual to work with all aspects of the engineering team, helping to improve the accuracy and completeness of our models.
Position Description:
Design, develop, and implement machine learning models Design advanced neural network training strategies Generate and maintain design documentation Work closely with a highly skilled, multidisciplinary team of engineers
Qualification:
2+ years’ experience programming Python Deep learning/neural network knowledge 2+ years’ experience with relational databases and SQL programming Experience with Keras, Panda, numpy, scipy, PyTorch and Tensorflow is a plus Solid communication skills Currently enrollment in relevant program Legal authorization to work in USA Time series forecasting experience desired
Backed by Silicon Valley's top VC firms (Andreessen Horowitz, Menlo Ventures, Google Ventures, Foundation Capital, and more). Percolata Forecast as a Service (FaaS) gathers and forecast shopper traffic and transactions with 4x higher accuracy for retailers using weather forecasts, marketing calendars, and other data via proprietary deep learning technology. The service reduces labor cost by 2-5% while improving revenue by 1-5%. Percolata’s cloud-based forecaster also lowers inventory costs while improving marketing effectiveness. Ecommerce retailers have also used FaaS to give third-party logistics companies the required forecast accuracy needed to gain promised service levels. Percolata FaaS is a fully managed turnkey service.