Member of Technical Staff - Machine Learning
 Microsoft | |
 United States, California, Mountain View | |
 Sep 13, 2024 | |
|
OverviewAs a Member of Technical Staff - Machine Learning, you will work on the Technical Safety squad to ensure that Copilot's messages comply with content policies and the larger values of the organization. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques for safety post-training, or training content classifiers to support the Copilot experience.We'relooking for someone with experience in data science and machine learning, but also a strong communicator and great teammate.The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesLeverage 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. | |