Software Engineer (AI/ML) Intern
About The Position
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
Requirements
- Strong analytical capabilities and problems solving skills are crucial.
- 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.
- Capability to formulate creative solutions through analyzing complex data
- Good communication skills
- Strong team player and motivated by team success
- Strong problem-solving skills
- Masters level degree student or a PhD candidate
Nice To Haves
- 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.
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 and paid company holidays
- family care and bonding leave
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What This Job Offers
Career Level
Intern
