Microsoft Senior Applied ML Engineer - Security AI 

Taiwan, Taoyuan City 

942717962

Required/Minimum 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.
• 5+ years of hands-on experience in programming language such as C#, Python.
• Ability to problem solve architecture design and coding problems
• Understanding of statistics, machine learning algorithms and data visualization.
• Knowledge in large language model, deep learning, transformer models, data engineering, cloud stack technologies, information fusion, large-scale machine learning models.

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 Computer Science, Artificial Intelligence, Mathematics, Physics, or related field AND 6+ year(s) related industry experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Artificial Intelligence, Mathematics, Physics, or related field AND 5+ years related industry experience
• Prior experience in AI product development is preferred not required
• Experience in working with cross-functional teams, such as product managers, designers, researchers, engineers, and stakeholders, with strong communication, collaboration, and leadership skills, for translating research into a production service.
• Ability to deal with ambiguity at work; identify research areas independently; shape the direction of research to product in a practical way

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 expert 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.
• Drive high-stakes negotiations across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives.
• Write production-ready code to successfully deliver research project into AI product.