[Active Hring] AI Software Engineer
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. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it. Job Description/Preferred Qualifications Are you ready to solve one of the toughest challenges in semiconductor manufacturing? Imagine developing models that can detect nanoscale defects, even when access to data and systems is limited. Join us and be part of the entire journey – from designing and developing to deploying these groundbreaking models and systems. Your expertise will drive innovation and make a real impact! Key Responsibilities:
- Lead the development and implementation of AI products, ensuring they meet project requirements and business goals.
- Help the team build infrastructure and deploy modern MLOps techniques to our customer sites.
- Rapidly prototype and iterate on machine learning applications, demonstrating large language models (LLMs) for various use cases.
- Stay updated with the latest ML/AI research and integrate new techniques into our products.
- Select appropriate datasets, perform data preprocessing, and ensure data quality for training models.
- Conduct machine learning tests, perform statistical analysis, and fine-tune models for efficient performance.
- Work closely with multi-disciplinary teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
- Guide and mentor junior team members, encouraging a culture of continuous learning and improvement.
- Educational background in Computer Science, Mathematics, or a related field.
- Proficiency in Python and Machine Learning (ML) frameworks such as PyTorch, TensorFlow, and Keras.
- Hands-on experience with Large Language Models and related tools.
- Strong problem-solving abilities and experience with statistical analysis.
- Effectively convey sophisticated technical concepts to non-technical team members.
- Ability to work collaboratively with fellow team members and lead multiple projects simultaneously.
- Experience with cloud platforms like Azure, AWS, or Google Cloud for deploying and running ML models.
- Previous experience in a similar role within the AI/ML industry.
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