Microsoft Applied Scientist 

United States, Georgia, Atlanta 

359526353

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.

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:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks.
• Relevant internship or prior work experience, e.g., statistics, predictive analytics, research, GenAI.

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

• Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
• Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback.
• Communicate technical findings and insights effectively.
• Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate on improvements.
• Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers
• Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle
• Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications.

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