ML Software Engineer

KLA Tencor   •  

Ann Arbor, MI

Industry: Manufacturing

  •  

Less than 5 years

Posted 30 days ago

Company Overview

Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we? We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us. The future is calling. Will you answer?

Group/Division

KLA has always had a close relationship with data. Our optical and electron beam inspection and measurement tools use sophisticated data analytic techniques to provide value for our customers.


In this role, you will be part of a world class team of data science researchers, machine learning and application engineers who build and use a world class platform for development of Industrial AI application.


We are looking for engineers with a passion for data science and software engineering who can rapidly incorporate evolving ideas from academia and industry into useful solutions for our internal and external customers.

Responsibilities

  1. Maintain and enhance standard architecture for realtime data for inference.
  2. Contribute to development of standard architecture for model serving. Ideal system should be standardized and loosely coupled. Easily pluggable into production systems.
  3. Contribute to hardware roadmap for cost effective production ML systems.
  4. Define and own all metrics (coverage, scale, latency, reliability etc) for serving area.

Qualifications

Master's Level DegreeORBachelor's Level Degree with at least 1 years of experience.

Minimum Qualifications

Master's Level DegreeORBachelor's Level Degree with at least 1 years of experience.

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