Engr, Algorithm (P2)
KLA CORPORATIONThis job is no longer accepting applications
Job Description
Company Overview
Group/Division
Job Description/Preferred Qualifications
Join a dynamic and collaborative team of scientists focused on developing algorithms on cutting-edge solutions in metrology tools. This role focuses on leveraging data-driven approaches, machine learning, deep learning, and strong statistical methods to solve complex data and process challenges.
Key Responsibilities
- Design and develop data-driven solutions focused towards customer problems in metrology solutions.
- Apply machine learning, deep learning, and advanced statistical techniques to solve complex characterization, modeling, and data interpretation problems.
- Analyze large and diverse datasets to identify patterns, improve signal quality, enhance model performance, and enable faster decision-making.
- Drive rapid solutioning by proactively identifying issues, formulating hypotheses, validating approaches, and delivering practical solutions with strong technical rigor.
- Collaborate closely with system's engineers, application team, Software team across division to troubleshoot challenges and translate business or field needs into effective algorithms.
- Take ownership of solution development activities, including problem scoping, experimentation, model evaluation, deployment, and continuous improvement.
- Open for innovation and adoptability towards AI tools
- Good model development to deployment exposure in Python
Board focus areas:
- Statistical modeling and inference
- Data analytics and predictive modeling
- Machine learning / deep learning
- Algorithm optimization and performance improvement
- Model deployment
Minimum Qualifications
Master's Level Degree and 0 years related work experience Bachelor's Level Degree and related work experience of 2 years Proficiency in python modules for AI/ML and statistical model development.
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More Info
Key Skills
About Company
KLA Corporation is a capital equipment company based in Milpitas, California. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries. The company's products and services are intended for all phases of wafer, reticle, integrated circuit (IC) and packaging production, from research and development to final volume manufacturing.

