AI & Computer Vision Engineer Intern (Semiconductor)

KLA-Belgium

Milpitas (CA)

On-site

USD 66,000 - 94,000

Full time

10 days ago
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Job summary

KLA, a leader in semiconductor inspection, seeks a PhD-level researcher to advance machine learning for image transformation and defect detection in Milpitas, CA. The role focuses on prototype development with Python, PyTorch, and TensorFlow, plus production‑quality software in Modern C++ and Python.

Collaborate with algorithm, software, systems, and application engineers to deploy scalable ML solutions in a fast-paced environment, and contribute to end‑to‑end algorithm development and

Qualifications

  • PhD candidate or higher in a relevant field with strong research background.
  • Deep learning and image processing experience required.

Responsibilities

  • Apply Machine Learning and Deep Learning techniques to image transformation and defect detection.
  • Analyze large-scale image datasets and evaluate algorithm performance.
  • Prototype algorithms using Python, PyTorch, and TensorFlow.
  • Develop production-quality software using Modern C++ and Python.
  • Apply best practices in software design, testing, debugging, code reviews, and version control.
  • Collaborate with algorithm, software, systems, and application engineers to deploy solutions into production.

Skills

Image processing
Computer Vision
Machine Learning
C++
Python
PyTorch
TensorFlow

Education

PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Data Science or related field

Tools

PyTorch
TensorFlow
Modern C++
Python

Job description

KLA, a leader in semiconductor inspection, seeks a PhD-level researcher to advance machine learning for image transformation and defect detection in Milpitas, CA. The role focuses on prototype development with Python, PyTorch, and TensorFlow, plus production‑quality software in Modern C++ and Python.

Collaborate with algorithm, software, systems, and application engineers to deploy scalable ML solutions in a fast-paced environment, and contribute to end‑to‑end algorithm development and

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