As an Algorithms/Machine Learning Engineering Intern at KLA, you will design and advance multi-modality machine learning solutions, lead theoretical investigations, and develop data-quality evaluation frameworks. This role involves collaborating with cross-functional teams to refine algorithmic approaches and enhance measurement capabilities.
Requirements
Students studying towards a PhD Level Degree in Physics, Data Science, Machine Learning, Computer Science or related field that has worked with multi-modalities
Proficiency in Python and Machine Learning frameworks (PyTorch or Tensorflow)
Ability to perform experiments and data/error analysis
Strong organizational skills and ability to follow detailed work plans and test procedures.
Responsibilities
Design and advance multi‑modality machine learning solutions that integrate diverse data sources to improve model performance.
Lead theoretical investigations and data‑driven analyses to assess and validate new model architectures.
Develop and maintain data‑quality evaluation frameworks for newly introduced modalities.
Implement structured test plans and perform in‑depth analysis of experimental outcomes to guide iterative improvements.
Partner with cross‑functional teams to refine algorithmic approaches and enhance measurement and evaluation capabilities.
Benefits
Employees at KLA are often offered competitive pay with bonuses, a 401(k) match, an employee stock purchase program, and financial perks like student-debt assistance, planning support, and group insurance discounts. Health and lifestyle benefits typically include medical/dental/vision, life and other voluntary coverages, paid time off and holidays, family leave, backup care, wellness rewards, gym discounts, and community-volunteering opportunities. Employees also get strong growth support through tuition reimbursement, KLA’s corporate learning center, education awards, and engineering certification programs.
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