Kla
Software Engineering Intern
Ann Arbor, MI · Intern · Internship
Sponsorship not specified$32k-$45kDetected 30 days ago
Machine LearningDeep LearningA/B TestingRecruitingHRPerformance ManagementAR/VRResearchLeadershipCommunication
About the role
- Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem.
- No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us.
Responsibilities
- Build tools for more efficient experimentation.
- Manage data used for training and experimentation of AI and physics modeling systems.
- Developing software tools and solutions for KLA products.
Requirements
- Students working towards a PhD, MS, or BS Level Degree
- Please ensure that you have searched KLA's Careers website for legitimate job postings.
Skills
- Virtually every electronic device in the world is produced using our technologies.
Compensation
- $32.00 - $45.00 per hour based on pursuit of a Ph.D.
- Our pay ranges are determined by role, level, and location.
- The range displayed reflects the pay for this position in the primary location identified in this posting.
- Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training.
- We are committed to complying with all applicable federal and state minimum wage requirements where applicable.
- If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Benefits
- Work with traditional machine learning and deep learning techniques to meet and improve results on KLA products.
- Interns are eligible for some of the benefits listed.
Equal opportunity
- KLA is proud to be an Equal Opportunity Employer.
- Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
This listing is sourced directly from Kla's careers page and normalized into a canonical job model.