AI/ML Software Engineer Intern — Scale & Impact

KLA

Milpitas (CA)

In loco

USD 30.000 - 59.000

Part-time

6 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical benefits
401K matching
ESPP
Tuition reimbursement
Paid time off

Descrizione del lavoro

KLA invites applications for a Software Engineer (AI/ML) intern to contribute across a platform handling large-scale software systems, data management, and ML model training and inference for KLA products. You’ll need strong analytical skills and hands-on coding in Python, C++, C#, or Java, with familiarity in ML/DL frameworks.

The role emphasizes collaborative, cross-functional work and exposure to cutting-edge technology in AI/ML, distributed systems, and cloud compute environments.

Competenze

  • Masters level degree student or a PhD candidate.
  • Experience with Python, C++, C#, or Java.
  • Familiarity with ML/DL concepts.

Mansioni

  • Play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
  • Work on a platform for large scale software systems, data management, ML model training and inference solutions for KLA products.
  • Strong analytical capabilities and problem solving skills are crucial.
  • Demonstrate hands-on experience with development in Python, C++, C#, or Java.
  • Deep conceptual understanding of multi-threaded and multi process software systems is necessary.

Conoscenze

Python
C++
C#
Java

Formazione

Master's degree student or PhD candidate

Strumenti

TensorFlow
PyTorch
NumPy
scikit-learn

Descrizione del lavoro

KLA invites applications for a Software Engineer (AI/ML) intern to contribute across a platform handling large-scale software systems, data management, and ML model training and inference for KLA products. You’ll need strong analytical skills and hands-on coding in Python, C++, C#, or Java, with familiarity in ML/DL frameworks.

The role emphasizes collaborative, cross-functional work and exposure to cutting-edge technology in AI/ML, distributed systems, and cloud compute environments.

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