Job Description

As a Machine Learning Engineer intern at the Bosch Center for Artificial Intelligence you will have the opportunity to work on interesting machine learning problems to reduce testing time of manufacturing lines at Bosch. You will be contributing to AI product development for manufacturing use cases. You will have access to state-of-the-art computing infrastructure and large industrial-scale data sets. This internship will provide you an opportunity to not only implement and deploy machine learning models but also collaborate with our product development team that delivers products that impact millions of people worldwide.

Qualifications

MINIMUM QUALIFICATIONS:

• Currently pursuing PhD/MS in Computer Science, Statistics or a related technical field.
• Strong fundamental understanding of machine learning models.
• Strong software engineering skills. Able to write efficient, readable and tested code.
• Proficient in programming in Python (tensorflow, scikit-learn, pyspark). 
• Experience in deploying machine learning models on Kubernetes.
• Ability to clearly and simply communicate and present technical concepts.
• Be enthusiastic and able to collaborate in a team environment.

PREFERRED QUALIFICATIONS:

• Experience working with large data sets in a distributed computing environment  (e.g. Apache Spark)
• Experience/familiarity with Streamlit python package in creating web apps.
• Domain knowledge of manufacturing and assembly line processes.

Additional Information

Duration: 12 Weeks

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)