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Microsoft Member Technical Staff - ML / Agents Taiwan, Taoyuan City 779438400
16.10.2025
By applying to this U.S. Mountain View, CA position or Redmond, WA, you are required to be local to the San Francisco area OR Redmond, WA area and in office 3 days a week.
Responsibilities:
- Leverage subject matter expertise to improve model quality for interactive and agentive experiences in consumer Copilot.
- Oversee data acquisition or generation efforts, ensuring that the data meets product needs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Lead evaluation efforts of models deployed within Copilot.
- Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
- Independently write efficient, readable, extensible code and model pipelines.
- Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives, and building AI products that delight customers.
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python OR equivalent experience.
- 4 years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Preferred Qualifications
- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2 year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
- OR Master's Degree in Computer Science, Machine Learning, or related field AND 5 years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
- OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7 years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
- Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
- Demonstrated interest in interactive AI.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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