Job Description

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 hundreds of thousands 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 Deep learning platforms and research capabilities.

Primary Responsibilities:

1. Implement the latest state of art deep learning models for time series forecasting.
2. Working closely with Data Scientists to define and interpret results

Qualifications

Masters (with publications) or PhD in Computer Science, Mathematics, Statistics or any other related field with prior experience in forecasting, deep learning and research.

We are specifically looking for candidates with a knowledge in any of the following areas:

1. Time Series Forecasting.
2. SQL
3. TensorFlow or PyTorch
4. Reading and implementing new research
5. Big Data tools: Hadoop, Spark
6. Experience using a GPU cluster

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)