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KLA Software Engineer AI/ML Intern United States, Texas, Austin 197911300
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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 andGenerative 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
Minimum Qualifications
Masters level degree student or a PhD candidate
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