Deep Learning Engineering Intern

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop smartphone wearable device voice-controlled gadget flexible screen VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles integrated circuits packaging printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists engineers data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group / Division

With over 40 years of semiconductor process control experience chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design KLAs Global Products Group (GPG) which is responsible for creating all of KLAs metrology and inspection products is looking for the best and the brightest research scientist software engineers application development engineers and senior product technology process engineers. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic foundry and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.

Job Description / Preferred Qualifications

Responsibilities :

Deep Learning (Algorithms) Engineering intern to evaluate and benchmark different feature extraction strategies for images spanning classical CNNs Vision Transformers and autoencoders. Intern will design fair comparisons run experiments and present actionable recommendations to select the right approach for downstream tasks (classification retrieval detection or segmentation) on our data sets.

Preferred Qualifications :

Students working towards an M.S. or Ph.D. in Computer Science Electrical / Computer Engineering or related field

Experience with self-supervised learning and representation learning

Knowledge of Vision Transformers and state-of-the-art vision models

Understanding of evaluation metrics and statistical testing

Prior work with image datasets

Minimum Qualifications

Pursuing an M.S. / Ph.D. in Computer Science Electrical / Computer Engineering or related field

Coursework or experience in machine learning and deep learning

Proficiency in Python and at least one of PyTorch or TensorFlow / Keras

Familiarity with CNNs and / or Transformers in vision

Base Pay Range : $35.00 - $57.00 per hour based on pursuit of a Bachelors Masters or Ph.D.

Primary Location : USA-CA-Milpitas-KLA

KLAs total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to : 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 and family care and bonding leave.

Interns are eligible for some of the benefits listed. 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.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us at or at 1- to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Required Experience :

Intern

Key Skills

Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic

Employment Type : Full-Time

Experience : years

Vacancy : 1

Hourly Salary Salary : 35 - 57