Senior and Principal Applied Scientists (Multiple Positions)

Required/Minimum Qualifications:

    • Bachelor’s Degree in Computer Science, Statistics, Econometrics, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., artificial intelligence (AI)/machine learning (ML), statistics, predictive analytics, research)
          o OR Master’s Degree in Computer Science, Statistics, Econometrics, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., artificial intelligence (AI)/machine learning (ML), statistics, predictive analytics, research)
         o OR Doctorate in Computer Science, Statistics, Econometrics, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., artificial intelligence (AI)/machine learning (ML), statistics, predictive analytics, research)
         o OR equivalent experience.

• 3+ years of research or demonstrated industry experience in ML, Deep Learning (using PyTorch, TensorFlow or similar), Natural Language Processing (NLP), Computer Vision, and related domain.
• 3+ years software development/engineering experience using Python, C#, or similar.
• Demonstrated proficiency in recent advancements in AI/ML technology.

Other Requirements:

Candidates must be able to meet Microsoft, customer and/or government security screening requirements that 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 Computer Science, Statistics, Econometrics, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., artificial intelligence (AI)/machine learning (ML), statistics, predictive analytics, research)
         o OR Master’s Degree in Computer Science, Statistics, Econometrics, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., artificial intelligence (AI)/machine learning (ML), statistics, predictive analytics, research)
        o OR Doctorate in Computer Science, Statistics, Econometrics, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., artificial intelligence (AI)/machine learning (ML), statistics, predictive analytics, research)
        o OR equivalent experience.
• Ph.D. in Computer Science, preferably with experience in Machine Learning. Ideal areas of expertise include topics on NLP, Computational Linguistics, Computer Vision, and Reinforcement Learning.
• 5+ years of experience developing and deploying live production systems, as part of a product team.
• 5+ years of experience conducting research as part of a research program in academic or industry settings.
• 3+ years of experience publishing peer-reviewed papers and presenting at conferences or events as an invited speaker.
• Proficiency in using ML libraries from sources such as Hugging Face.
• Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications.
• Deep knowledge of algorithms, machine learning, and distributed/cloud computing systems (e.g., Spark, Hadoop, Azure).
• Contributions to open-source ML projects are a big plus.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

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


Microsoft will accept applications and processes offers for these roles on an ongoing basis.