This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
Improve events experiences on Bing
Drive end-to-end outcomes: turning product requirements into hypotheses, defining metrics, and shipping ML solutions that move customer and business KPIs
Apply modern NLP/IR and multimodal methods—including adapting LLMs and SLMs—to deliver relevant events experiences at global scale
Requirements:
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)
Nice to have:
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