Job Description

We are seeking a self-directed  Senior Applied Scientist to improve events experiences on Bing. In this individual contributor role, you will drive end-to-end outcomes: turning product requirements into hypotheses, defining metrics, and shipping ML solutions that move customer and business KPIs. You will apply modern NLP/IR and multimodal methods—including adapting LLMs and SLMs—to deliver relevant events experiences at global scale.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Bing events team within STCI (Microsoft AI) is responsible for architecting the large-scale classification and orchestration systems that map complex natural language queries to Events segment.
• By leveraging cutting-edge NLP and Generative AI, we ensure that every user interaction is met with the most relevant, intent-aware experience, balancing high precision with seamless integration.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 4+ 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.
• NLP & Generative AI: Proven experience in building and deploying NLP or LLM-based solutions (e.g., prompt engineering, fine-tuning, or RAG) into production services at scale.
• Experimentation: Solid foundation in statistical modeling, A/B testing, and designing experimental frameworks to measure product impact.
• Data Systems: Proficiency in SQL and experience working with large-scale data processing systems (e.g., Spark, Azure Databricks, or Kusto). 

Preferred Qualifications:

• Industry Impact: A track record of shipping ML features that have directly moved business KPIs in a consumer-facing products like search or recommendation engines.
• Advanced Modeling: Experience with multimodal modeling or advanced retrieval-augmented generation (RAG) techniques.
• Mentorship: Demonstrated ability to provide technical leadership and mentor junior scientists or engineers within a team.
• Communication: Excellent ability to translate complex technical findings into actionable insights for non-technical stakeholders and senior leadership.

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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.