In shaping the future of monetization for personalized AI assistants and pioneering innovation in the advertiser agentic space, as a Senior Applied Scientist, you will collaborate with engineers, data scientists, and product managers to develop cutting-edge agentic solutions using state-of-the-art large language models (LLMs), image understanding, and multimodal models.

Your role will involve continuous optimization by implementing techniques such as distillation and fine-tuning of LLMs, ensuring the highest standards of quality, tone, and style. You will also establish and refine evaluation metrics, prioritizing quality, speed and efficiency. You will also be responsible for driving safe responses by defining sets, metrics, and protections, and collaborating with Responsible AI (RAI) and Safety teams to ensure compliance.

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.

Responsibilities

• Partner with appropriate stakeholders to determine user requirements for a set of scenarios driving projects from design through implementation, experimentation and finally shipping to our users.

• Lead identification of dependencies and the development of design documents for the Advertiser Agent product, application, service, or platform.

• Lead by example and mentors others to produce extensible and maintainable code used across products.

• Lead project initiatives by setting clear goals and timelines, assuming ownership, and orchestrating collaborative efforts with stakeholders: PMs, designers and client teams, to craft top-tier AI systems that bring delight to end users through seamless delivery.

• Thrive on addressing complex challenges and adapting to emerging technologies and innovations in AI, making significant contributions to project

• outcomes.Contribute to academic and industry discourse by publishing papers, participating in conferences, and serving as a representative of Agentic AI innovation.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• Experience shipping ML models on scale.

Preferred Qualifications:

• Working knowledge of LLM fine tuning and distillation.

• Experience or understanding of ethical considerations and best practices in AI development with a commitment to championing Responsible AI principles.

• Experience working in a research environment.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .