Software Engineer (AI/ML) Intern at KLA in Austin, TX

Summary: KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are seeking a Software Engineer (AI/ML) Intern to work on tasks related to large scale software systems, data management, and machine learning model solutions. Responsibilities: - Software Engineer (AI/ML) intern may work on a variety of tasks including platform for large scale software system, data management, machine learning model training and inference solutions for KLA products - 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 - Data Structures and algorithms - Traditional machine learning using Random Forest, XG Boost, Logistic Regression - Deep Learning for regression, classification and Generative models - TensorFlow or Pytorch, NumPy, scikit-learn, and other ML and DL frameworks - Distributed systems for data management - Distributed computing infrastructure - Cloud technologies for storage, containerization and compute clusters - GPU architectures and data management - Successful candidates for this position will also demonstrate the following non-technical skills - Capability to formulate creative solutions through analyzing complex data - Good communication skills - Strong team player and motivated by team success - Strong problem-solving skills Required Qualifications: - Masters level degree student or a PhD candidate - Strong analytical capabilities and problems solving skills - 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 - Capability to formulate creative solutions through analyzing complex data - Good communication skills - Strong team player and motivated by team success - Strong problem-solving skills Preferred Qualifications: - Familiarity with Machine Learning and Deep Learning solutions - Data Structures and algorithms - Traditional machine learning using Random Forest, XG Boost, Logistic Regression - Deep Learning for regression, classification and Generative models - TensorFlow or Pytorch, NumPy, scikit-learn, and other ML and DL frameworks - Distributed systems for data management - Distributed computing infrastructure - Cloud technologies for storage, containerization and compute clusters - GPU architectures and data management Required Skills: Machine Learning, Deep Learning, Python Important Skills: C++, Data Structures, TensorFlow, Cloud technologies Nice-to-Have Skills: communication skills, team player, Problem-solving skills Benefits: Medical, Dental, Vision, Life, Other voluntary benefits, 401(K) including company matching, Employee stock purchase program (ESPP), Student debt assistance, Tuition reimbursement program, Development and career growth opportunities and programs, Financial planning benefits, Wellness benefits including an employee assistance program (EAP), Paid time off, Paid company holidays, Family care and bonding leave