Microsoft Machine Learning Engineer 

Taiwan, Taoyuan City 

549759307

We are seeking a talentedto lead the development of AI solutions. In this role, you will focus on data preparation and management, including big data processing, to ensure high-quality datasets for machine learning models. Your expertise will shape innovative projects, leveraging data-driven insights to enhance user experiences and support strategic decision-making.

Required/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience.
  • ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • ORequivalent experience.
• 2+years technicalengineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 2+ years of experience in data science or big data processing.

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:

• : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:

• Experience with ML infrastructure, including job schedulers and big data storage.
• Experience with cloud computing platforms such as Azure and AWS.
• Understanding code coverage, data structures, algorithms, multi-threaded and asynchronous programming patterns, and architecting at scale.
• Experience with engineering practices, CI/CD pipelines, and Git.
• 4+ years of experience in building, debugging, and optimizing large, high-performance applications using ML engineering languages and platforms like Python, PySpark, & Scala.
• Master’s degree in data science, Computer Science or related technical field.

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 March 26, 2025.

• Collaborate with a cross-disciplinary team of engineers, data scientists, and researchers.
• Develop and maintain data pipelines and dashboards for real-time model monitoring and decision-making.
• Build scalable, reliable, and secure systems with comprehensive monitoring and alerting.
• Produce robust and efficient code, conducting design and code reviews to align with best practices.
• Ensure data integrity, compliance, and system stability through meticulous release management.
• Analyze large-scale data to drive AI advancements and enhance response quality.
• Simplify machine learning infrastructure by streamlining onboarding, debugging issues, and keeping documentation up-to-date.
• Effectively communicate insights to leadership and cross-functional teams through dashboards, reports, and presentations.
• Embody our and .