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Senior Applied Scientist

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

I korthet

As a Senior Applied Scientist at Microsoft, you will contribute to innovative machine learning solutions for Copilot Chat and Search, enhancing productivity and information retrieval for millions. You will research, adapt, and apply state-of-the-art algorithms, collaborating with engineers and product teams to improve search quality and user experience.

Ansvarsområden

  • Research and evaluate tools, technologies, and methods to improve M365 Copilot Chat and Search quality, performance, and efficiency.
  • Build deep knowledge of the M365 Copilot Search service and consult with engineers and product teams on search quality improvements.
  • Mine data to identify opportunities for applying state-of-the-art algorithms and statistical analysis to improve search quality.
  • Develop expertise in search relevance, NLP, and data-driven analysis, creating novel, data-driven, scalable solutions.
  • Build collaborative relationships across Microsoft to create business impact through expertise and technology.

Krav

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Microsoft Cloud Background Check required upon hire/transfer and every two years thereafter.

Önskade kvalifikationer

  • Experience applying machine learning, NLP, or information retrieval techniques to search or recommendation problems.
  • Experience using data analysis and offline/online evaluation to diagnose metrics, user journeys, model behavior and improve product quality.
  • Applied ML engineering experience using Python and modern ML frameworks such as PyTorch.
  • Hands-on experience with dense/vector retrieval and text embeddings, including bi-encoders, approximate nearest-neighbor search, contrastive training, or hard-negative training.
  • Familiarity with information retrieval fundamentals and retrieval evaluation, including metrics such as recall@k and nDCG, offline evaluation pipelines, and interpretation of A/B test results.
  • Experience fine-tuning or adapting transformer or large language models for a specific domain, including domain adaptation, distillation, parameter-efficient fine-tuning, and curation of clean in-domain training data.
  • Solid applied ML engineering skills in Python and PyTorch, with experience running large-scale training and evaluation jobs on cloud or GPU clusters.

Förmåner

  • Certain roles may be eligible for benefits and other compensation.
  • Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

Färdigheter

Machine LearningNLPInformation RetrievalPythonPyTorchvector searchtransformer modelslarge language models
#Copilot#Machine Learning#NLP#Search#Information Retrieval
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Om Microsoft

Empowering every person and organization on the planet to achieve more

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…

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Företag

Microsoft

Publicerade jobb

för 1 dag sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Lön

74 700–122 600 GBP · Förhandlingsbar

Erfarenhetsnivå

Senior

Platser

United Kingdom

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