Microsoft Senior Applied Scientist 

United States, Washington 

350485362

Artificial Intelligence (workloads on the planet.

capabilities to their apps.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • ORMaster's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • 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/Additional Qualifications:

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

• Have research or work experience on Natural Language Processing (NLP) or recommendation system.

• Experience working in the GenArtificial Intelligence (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.

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

You will be a technical leader, working closely with colleagues and customers from various business domains drive Responsibleproduct innovation.

• Drive innovations in Hallucination Detection and Mitigation models and algorithms where keep engineering resource consumption in mind.
• Lead and participate in design, implementation, and execution across a variety feature including building Machine Learning/Deep Learning (ML/DL) models.
• Analyze complex, high-volume, high-dimensionality data.
• Participate in designing and building ResponsibleAIharmful content model core.
• Collaborate with a team of world-class researchers, scientists & engineers to solve very challenging problems.
• Invest in others’ growth.
• This role requires a deep understanding of generative