Microsoft Senior Applied Scientist 

United States, California, Mountain View 

878346680

be responsible for

Required Qualifications

• 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)
  • OR Master'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
• 4+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics
• 4+ years of experience in software development

Preferred Qualifications

• 5+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models
• 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
• Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines
• 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 Artificial Intelligence (AI)-powered experiences.
• Foster a healthy and inclusive team environment,providetechnical guidance to other applied scientists, and act as a mentor.
• Embody our and