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GSS Machine Learning Engineer (E) - Ann Arbor Michigan
Company: KLA Location: Ann Arbor, Michigan
Posted On: 01/24/2025
Company OverviewKLA 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 QualificationsMachine Learning Engineers are core to KLA's technology, while we do not currently have an opening, we are always building our Machine Learning Engineers talent community, we are interested in learning about your background. Apply to this posting for Future Opportunities with KLAWe are seeking a skilled Machine Learning Engineer to join our Services AI Engineering team. The successful candidate will be responsible for developing and implementing large language models. This role involves working closely with the program management and engineering teams to create solutions that improve the efficiency and effectiveness of our field operations.Key Responsibilities: - Design, develop, and deploy machine learning models, with a focus on natural language processing and understanding.
- Collaborate with cross-functional teams to integrate ML models into our existing systems and workflow.
- Conduct data processing and analysis to improve model accuracy and efficiency.
- Stay updated with the latest advancements in ML and NLP technologies.
- Fine-tune models based on feedback and performance metrics.Qualifications:
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