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Microsoft Member Technical Staff - Machine Learning United States, California, Mountain View 180581347
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Responsibilities
- Leverage subject matter expertise to uncover and mitigate safety issues in consumer Copilot.
- Oversee data acquisition or generation efforts, ensuring that the data meets product needs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need reexamining.
- 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 safety roadmap for Copilot, keeping in mind business and product goals.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
Required Qualifications:
- Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Experience prompting and working with large language models.
- Experience writing production-quality Python code.
Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Demonstrated interest in Responsible AI.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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