Algorithm Engineer, Deep Learning

Base Pay Range: $124,100.00 - $211,000.00 Annually

Primary Location: USA-CA-Milpitas-KLA

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

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.

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, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s 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

We are looking for a full-time Algorithm Engineer on Deep Learning who is passionate on pioneering Machine Learning, Deep Learning, Foundation Model and GenAI for image processing and computer vision applications in KLA semiconductor process control business. The qualified candidates are expected to have strong background and industrial experience on designing and deploying Deep Learning/GenAI models for Object Detection, Segmentation, Anomaly Detection Applications in real world. The qualified candidates are also expected to have deep understanding on the theory and/or practice of deep learning in an applied field (like Computer Vision, NLP, or similar). The candidates are expected to be able to work independently on an engineering task and be able to conceptualize, explore and identify solutions for unseen problems. The responsibilities for this position include, but not limited to,

• Design AI solution for a product feature.
• Work and communicate through a collaborative manner with global peers across functions.
• Understand and evaluate state-of-the-art (SOTA) DL/GenAI algorithms.
• Understand and evaluate SOTA Computer Vision algorithms.
• Implement SOTA Deep Learning/GenAI/CV models.
• Understand and evaluate prompt engineering method (to GenAI).
• Understand and apply DL/GenAI training techniques to model development.
• Design and improve DL models for a specific feature request.
• Design new Deep Learning modules or components.
• Optimize and Fine-tuning DL or GenAI Models.
• Evaluate and validate the performance of DL or GenAI Models.
• Perform A/B Test between models/applications on real data.
• Perform professional technical presentation on ideas, concepts, results to peers and customers.

Qualifications/Education Desired

• PhD degree in Computer Science, Electrical Engineering, or related Quantitative Fields.
• Experience on applying DL/GenAI on real world problem, with impactful results.
• In-depth experience on at least one of the modeling areas including Deep Learning, Reinforcement Learning, LLMs, Vision Foundation Model, GenAI, Multi-Modal Modeling, etc.
• In-depth experience on at least one of the application fields including Computer Vision, Image Processing, Video Processing, Robotics, NLP or equivalent.
• Proficiency in Python.
• Proficiency in at least one additional programming language - from the list of C/C++, Rust, Go, JAVA or Swift.
• Proficiency in at least one Deep Learning framework - e.g., PyTorch, TensorFlow, JAX, PaddlePaddle or equivalent.
• Travel might be required.
• Demonstrations of Deep Learning experience via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.) or Industrial Patents or impactful Open-Source Project are REQUIRED.

Minimum Qualifications

• Doctorate (Academic) Degree and related work experience of 0 years; Master's Level Degree and related work experience of 3 years.
• Demonstrations of Deep Learning experience via technical publications in top conferences (e.g., NeurIPS, CVPR, ICML, ICLR, KDD, SIGGRAPH etc.) or Industrial Patents or impactful Open-Source Project are REQUIRED.

The company offers a total rewards package that is competitive and comprehensive including but not limited to the following:  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.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. 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 talent.acquisition@kla.com or at +1-408-352-2808 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 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.