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Microsoft Member Technical Staff – Machine Learning Engineer Taiwan, Taoyuan City 264233991
03.04.2025
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Job Description
By applying to this U.S. New York, New York OR Mountain View, CA OR Redmond, WA , OR Boulder, CO position, you are required to be local to the New York OR San Francisco OR Seattle OR Denver area and in office 3 days a week.
Responsibilities
- Creates pipelines for machine learning, inclusive of data preparation, inference, and integration with downstream systems.
- Comfortable with large scale data processing pipelines to extract business value from user logs.
- Learning about, understanding, and experimenting with the latest LLM capabilities that keep up with your customers.
- Partnering with engineering, product, and leadership teams to create robust client libraries that facilitate large scale inference on user data.
- Driving design and technical strategy decisions based on product needs, customer feedback and best development practices.
- Providing technical leadership and subject matter expertise as you establish and grow best practices for the integration of emerging technology.
- Embodying Microsoft’s culture and values.
- Embody our and
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline AND 6 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, or Python
- OR equivalent experience.
- Experience with Python, SQL, and/or Spark.
Preferred Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 10 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, or Python
- OR Master's Degree in Computer Science or related technical field AND 8 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, or Python
- OR equivalent experience
- Experience with Azure Machine Learning or similar systems, including deployment and monitoring of large-scale pipelines.
- Experience with Python package development.
- Experience with LLMs and prompt engineering.
- Experience with ML and data science libraries such as sklearn, PySpark, pandas, and transformers.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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