Machine Learning Engineer II

Microsoft

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

o OR equivalent experience.

  • 2+ years experience in machine learning, deep learning and/or related fields.
  • 2+ year experience in software development experience in languages such as Python, Java, C++, Scala, or C#
  • 2+ year experience developing end to end ML (Machine Learning)/DL (Deep Learning) engineering systems.
  • 2+ year experience in distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos).

Other Requirements:

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Have research or work experience on NLP, or recommendation system.
  • Experience working in the Gen AI field.
  • Experience developing and designing science model 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.

Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $98,300 – $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 – $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-payMicrosoft will accept applications for the role until January 6, 2025.

 

To apply for this job please visit jobs.careers.microsoft.com.

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