KLA Software Engineer AI/ML Intern 

United States, Texas, Austin 

952382885

Strong analytical capabilities and problems solving skills are crucial. Familiarity with Machine Learning and Deep Learning solutions would be a big plus.

Successful candidates are passionate about software and will have exceptional skills and hands on experience with development in Python, C++, C# or Java. Deep conceptual understanding of multi-threaded and multi process software systems is also necessary.

In addition to the above fundamental software skills, any of the following technical hands-on skills are highly desirable.

1) Data Structures and algorithms
2) Traditional machine learning using Random Forest, XG Boost, Logistic Regression.
3) Deep Learning for regression,classification andGenerative models.
4) TensorFlow or Pytorch, NumPy, scikit-learn, and other ML and DL frameworks.

5) Distributed systems for data management.
6) Distributed computing infrastructure.
7) Cloud technologies for storage, containerization and compute clusters.
8) GPU architectures and data management.

Minimum Qualifications

College junior/senior,Masters level student or PhD candidate