Principal Applied Scientist

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens

I korthet

Microsoft is seeking a Principal Applied Scientist to lead AI-powered monetization initiatives, focusing on AI, machine learning, LLMs, SLMs, and multimodal AI for experiences across Copilot, Shopping, and Ads. This hybrid role involves setting technical strategy, driving innovation, and mentoring teams to improve customer satisfaction and business outcomes.

Ansvarsområden

Serve as the technical lead for AI-powered relevance, shopping, recommendation, and agentic commerce initiatives across Copilot, Shopping, and Ads experiences.
Drive innovation in machine learning technologies including LLMs, SLMs, multimodal AI, retrieval, ranking, personalization, and recommendation systems.
Define and execute the science roadmap for user intent understanding, product understanding, content relevance, and advertiser matching.
Lead end-to-end ML development, including model architecture, training data strategy, evaluation, experimentation, calibration, and production deployment.
Partner with engineering and product teams to deliver scalable, reliable, and cost-efficient AI systems.
Shape the technical vision for future agent experiences, conversational shopping, and AI-assisted commerce scenarios.
Drive measurable improvements in customer satisfaction, engagement, relevance quality, and business outcomes.
Mentor scientists and engineers while raising the technical bar across machine learning, experimentation, and scientific rigor.

Krav

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience OR equivalent experience.
Extensive experience building and shipping large-scale machine learning systems in search, recommendation, ranking, advertising, commerce, conversational AI, or personalization.
Deep expertise in modern machine learning, including deep learning, transformers, representation learning, retrieval systems, recommendation systems, and foundation models.
Demonstrated experience serving as a technical lead for large-scale cross-organizational initiatives.
Proven ability to translate research innovations into production systems with measurable business impact.
Experience with LLMs, SLMs, multimodal AI, and agentic systems.
Experience in advertising, e-commerce, shopping, recommendation, or marketplace ecosystems.
Experience developing AI-powered assistants, commerce experiences, or personalization platforms.
Experience optimizing distributed training and inference systems on large GPU clusters.
Experience mentoring principal-level engineers, scientists, and technical leaders.

Önskade kvalifikationer

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience OR equivalent experience.

Förmåner

Certain roles may be eligible for benefits and other compensation.
https://careers.microsoft.com/us/en/us-corporate-pay

Färdigheter

Machine LearningLLMsSLMsMultimodal AIRetrieval SystemsRecommendation SystemsTransformersFoundation ModelsDeep LearningRepresentation LearningConversational AIPersonalizationSearchRankingAdvertisingCommerceE-commerceShopping

#AI#Machine Learning#Data Science#Applied Science#Relevance#Ranking#Personalization#Recommendation Systems#Agentic Commerce#LLMs#SLMs#Multimodal AI#Copilot#Shopping#Ads

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