AI/ML Software Engineer Intern: Build Scalable Systems

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
Dental benefits
Vision benefits
Life insurance
401(k) matching
ESPP program
Student debt assistance
Tuition reimbursement
Paid time off
Company holidays
Family care leave

Descrizione del lavoro

KLA is seeking a Software Engineer (AI/ML) intern in Austin, TX to contribute to a platform-scale software system, data management, and machine-learning model training and inference for KLA products. You'll join a cross-functional team of researchers and engineers, solving complex challenges and advancing our software capabilities at scale.

The role requires strong analytical skills, familiarity with ML/DL concepts, and hands-on experience with Python, C++, C# or Java.

Competenze

  • Masters level degree student or a PhD candidate
  • Strong analytical capabilities and problem-solving skills
  • Familiarity with Machine Learning and Deep Learning solutions would be a big plus
  • Hands-on experience with development in Python, C++, C# or Java

Mansioni

  • Deliver high-impact work across your area of expertise
  • Develop platform for large-scale software systems
  • Work on data management and ML model training/inference solutions for KLA products
  • Demonstrate non-technical skills like communication and teamwork

Conoscenze

Python
C++
C#
Java
Data structures
Algorithms
Distributed systems
Cloud technologies
GPU architectures

Formazione

Masters/PhD candidate

Strumenti

TensorFlow
PyTorch
NumPy
scikit-learn

Descrizione del lavoro

KLA is seeking a Software Engineer (AI/ML) intern in Austin, TX to contribute to a platform-scale software system, data management, and machine-learning model training and inference for KLA products. You'll join a cross-functional team of researchers and engineers, solving complex challenges and advancing our software capabilities at scale.

The role requires strong analytical skills, familiarity with ML/DL concepts, and hands-on experience with Python, C++, C# or Java.

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