Remote Machine Learning Internship in CA

NFE_征途求职 · 发表于 2020-1-21 10:16:24

Position: Deep Learning Internship

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.