Algorithm Research Intern

KLA • Milpitas, CA

1d • $35 - $57

About The Position

As an intern, you will focus on deep learning investigations in defect detection and classification, and wafer topography!
What We're Looking For:
Experience with deep learning application & research is must
Experience using PyTorch, TensorFlow, and/or MATLAB is preferred
The position requires a proven innovative track record and solid fundamental knowledge in the related fields of deep learning algorithm development. The candidate need to be self-motivated individual with ability to work independently as well as in team setting. Strong written and verbal communications skills are needed.
Qualifications:
Ph.D. Candidate from Computer Science, Electrical Engineering, Physics and related field
Minimum Qualifications
Requires less than 1 year of related experience

Requirements

• Experience with deep learning application & research is must
• proven innovative track record
• solid fundamental knowledge in the related fields of deep learning algorithm development
• self-motivated individual with ability to work independently as well as in team setting
• Strong written and verbal communications skills are needed
• Ph.D. Candidate from Computer Science, Electrical Engineering, Physics and related field
• Requires less than 1 year of related experience

Nice To Haves

• Experience using PyTorch, TensorFlow, and/or MATLAB is preferred

Responsibilities

• focus on deep learning investigations in defect detection and classification
• focus on deep learning investigations in wafer topography

Benefits

• medical
• dental
• vision
• life, and other voluntary benefits
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off and paid company holidays
• family care and bonding leave

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees