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Responsibilities (Text Only)
As a Senior Product Manager for Responsible AI Applied Science, your primary focus will be to lead the development and implementation of advanced multi-modal measurement and mitigation solutions for emerging Responsible AI (RAI) risks and new content moderation policies. You will collaborate with applied scientists, multiple stakeholders, and cross-functional teams to build AI systems that effectively identify, measure and mitigate new RAI risks. Your key responsibilities will include:
– Identify and Measure RAI risks: Lead the effort in defining emerging Responsible AI (RAI) risks and collaborate with stakeholders to develop AI systems that effectively identify and measure new risks cross various modalities and harm categories
– Develop Mitigation Solutions: Work closely with applied scientists to create and implement advanced multi-modal mitigation solutions for identified RAI risks and new content moderation policies, including AI models and prompt engineering
– Technical Roadmap: Manage the technical roadmap, from ideation with researchers to seamless deployment in the large-scale RAI Safety System, ensuring the integration of new features with new Generative AI powered products
– Cross-Functional Collaboration: Partner with various stakeholders, including Microsoft Research, policy, legal, engineering teams, and other product teams to proactively ensure the adoption of the RAI measure and mitigation systems
– Continuous Improvement: Monitor the effectiveness of mitigation solutions and RAI harm measurement systems with a data driven approach, gather insights, and iterate on the development process to continuously enhance the performance and efficacy of the solutions
– Other: Embody our Culture and Values
Qualifications (Text Only)
Required/Minimum Qualifications:
– Bachelor’s Degree and 7+ years experience in product/service/project/program management or software development/applied science OR equivalent experience
– 2+ years experience managing technical cross-functional and/or cross-team projects
– 1+ years of experience in Machine Learning and/or AI
Preferred/Additional Qualifications
– Experience in Responsible AI, Digital Safety, or Security
– Experience with Generative AI
– Technical background in Natural Language Processing and/or Computer Vision
– Bachelor’s degree or higher in Machine Learning, NLP, Computer Vision, Computational Linguistics
#IDCAIPlatformHiring
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:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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