Meta-Learning Data Science Internship 384 Santa Trinita Ave, Sunnyvale, CA 94085, USA Intern Legal Entity: Robert Bosch LLC Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of robotics and autonomous systems, visual computing, natural language understanding, car infotainment, web technologies, data mining, wireless solutions, energy materials and technologies, complex simulations, sensors, circuit design, and software engineering. In all areas, we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units. We at the Bosch Center for Artificial Intelligence (BCAI) are developing platforms and products to deploy domain specific descriptive and predictive analytics. We are currently building a large-scale automated forecasting platform capable of forecasting over millions of time series at all business levels within Bosch. This is highly rewarding work with a chance for high impact throughout the Bosch enterprise. In order to successfully expand this platform and continue our vision, we need to create intuitive and test-driven software that generalizes for multiple types of data. This internship position requires a candidate who has a good experience and knowledge in time-series forecasting, machine learning classification and regression algorithms, deep learning frameworks such as Tensorflow or PyTorch, database systems such as MSSQL as well as proficiency in R/Python. Job Description Develop and expand the algorithm presented in Meta-learning how to forecast time series : https://www.monash.edu/business/econometrics-and-business-statistics/research/publications/ebs/wp06-2018.pdf Apply meta-learning to improve and speed up automated large scale forecasting. Working closely with Data Scientists to define and interpret results from various data mining algorithms. Develop Forecasting algorithm and functionalities that scale using distributed programming such as Spark. Qualifications Masters or Phd in Computer Science, Mathematics, Statistics or any other related field with prior experience in R, Python and Spark. We are specifically looking for candidates with a knowledge in any of the following areas: Knowledge of nonlinear classification/regression methods required. Knowledge of forecasting a plus. Knowledge of time series and feature generation from time series a plus. Big Data Tools: Hadoop, Spark SQL R Python Tensorflow or Pytorch Additional Information By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled. BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World in Motion) Job Location I'm interested Privacy Policy