Microsoft Machine Learning Engineer II 

United States, Washington 

646419118

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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until January 6, 2025.

We are seeking an enthusiastic AI engineer who is passionate about the latest AI advancements, possesses a start-up mindset, and is willing to take on any challenge.

1. Coding to model optimization
2. Model quantization
3. Participate in design, implementation, and execution across a variety feature including building ML/DL models.
4. Analyze complex, high-volume, high-dimensionality data.
5. Participate in designing and building Responsible AI harmful content model core.
6. Collaborate with a team of world-class researchers, scientists & engineers to solve very challenging problems.

Other:

• Embody our and