Associate Specialist, Algorithm Research & Development

Reposted Yesterday
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Chennai, Tamil Nadu
In-Office
Senior level
Hardware • Semiconductor
The Role
The role involves designing and evaluating deep learning models, leading data purification efforts, analyzing model performance, and collaborating on deployment strategies.
Summary Generated by Built In

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 world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

Core Responsibilities
1. Design, tune, and evaluate deep learning architectures (e.g., U-Nets, YOLO variants).
2. Explore new modelling approaches and conduct comparative experiments for new challenges
3. Lead data purification efforts: filtering, augmentation, and dataset optimization, have in mind transfer learning.
4. Define success metrics and analyze model performance across tasks.
5. Present findings clearly through visualizations, reports, and internal reviews.
6. Collaborate on deployment strategy by identifying the best algorithmic solutions for real-world constraints.
 

Minimum Qualifications

Qualifications/Requirements:
Required: Phd with 5 years of experience or MS/MTech degree with 8 or more years of Algorithm development experience.
Required: Strong background in deep learning and computer vision.
Required: Hands-on experience with PyTorch and model training workflows.
Required: Ability to communicate complex ideas clearly and lead technical discussions.
Preferred: Experience with experiment tracking tools (e.g., TensorBoard, W&B).
Preferred: Familiarity with cross-platform development and system integration.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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 KLA’s 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 [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Top Skills

Computer Vision
Deep Learning
PyTorch
Tensorboard
W&B
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The Company
HQ: Milipitas, CA
10,001 Employees

What We Do

KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.

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