AI Engineer III

24 hours ago


Redmond, Washington, United States Microsoft Corporation Full time

About Microsoft Corporation

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Microsoft Corporation is a leading technology company where talented innovators collaborate to push the boundaries of what's possible. We're committed to empowering every person and organization on the planet to achieve more.

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We're seeking an exceptional Machine Learning Engineer II to join our team. This role requires a deep understanding of generative AI use cases and responsible AI, as well as experience in developing end-to-end ML/DL engineering systems.

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In this role, you'll work with a team of world-class researchers, scientists & engineers to solve challenging problems. You'll be responsible for coding to model optimization, model quantization, and participating in design, implementation, and execution across various features.

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To succeed in this role, you'll need a bachelor's degree in Computer Science or a related technical field, and 2+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.

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The estimated salary for this role is $143,700 - $230,800 per year. Benefits include a comprehensive compensation package, including medical, dental, and vision insurance, as well as a 401(k) matching program.

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Requirements

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  • Bachelor's Degree in Computer Science or related technical field
  • 2+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python
  • 2+ years experience in machine learning, deep learning, and/or related fields
  • 2+ years experience developing end-to-end ML/DL engineering systems
  • Ability to meet Microsoft, customer and/or government security screening requirements

Preferred Qualifications

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  • Research or work experience on NLP, or recommendation system
  • Experience working in the Gen AI field
  • Experience developing and designing science models consumed in production development
  • Experience working through full product cycles from initial design to final product delivery
  • Knowledge and experience in large scale data analytics, such as Spark


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