Microsoft Principal Applied Machine Learning Engineer 

United States, Washington 

28755523

Required/Minimum 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.
• 5+ years of hands-on experience in programming language such as C#, Python
• Technical skills involving problem-solving, architecture design and be able to write high quality production code
• Experience in working with cross-functional teams, such as product managers, designers, researchers, engineers, and stakeholders, with good communication, collaboration, and leadership skills, for translating research into a production service.

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.

Additional or 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.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Prior experience in Artificial Intelligence (AI) product development is preferred
• Prior experience with LLM (Large language model) /NLP (Natural language processing) is preferred
• Experience in technical skills and knowledge in large language model, deep learning, transformer models, data engineering, cloud stack technologies, information fusion, large-scale machine learning models.
• Ability to work effectively in a collaborative and fast-paced environment, and to adapt to changing priorities and feedback
• Ability to deal with ambiguity at work; identify research areas independently; shape the direction of research to product in a practical way
• Understanding of statistics, machine learning algorithms and data visualization.
• Independent and self-motivated.
• Knowledge of cross team and cross org collaboration

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

• Develop and execute cutting-edge research projects in machine learning and artificial intelligence for cybersecurity, with a focus on cloud security challenges and opportunities.
• Serve as an expertise within team on changes in industry/market trends, products, industry advances, and opportunities in applied technologies across a broad range of applied research areas.
• Communicate the results and impact of your research and development to senior leadership and external audiences through publications, presentations, and demos.
• Write production-ready code to successfully deliver research project into Artificial Intelligence (AI) product.