Microsoft Principal Applied Scientist 

United States, California, Mountain View 

515365045

be responsible for

storytelling software.

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
• 6+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics
• 6+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models
• 6+ years of experience in software development

Preferred Qualifications

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
• Proficiencyin Python and familiarity with coding in multiple languages
• Proficiencyin using ML libraries from sources such as Hugging Face
• Expertisein 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.
• Published papers in reputed ML conferences are a plus.
• Contributions to open-source ML projects are a big plus.
• Ability to quickly ramp up on various domains within Machine Learning
• Experience shipping high-quality products at scale is a plus

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 November 24, 2024.

• Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets

• Develop and ship machine learning models and large language model applications to customers

• Collaborate with research teams to adopt the latest technologies

• Measure the impact of models and work with product teams to design AI-powered experiences

• providetechnical guidance to other applied scientists, and act as a mentor
• Embody our and