Senior Applied Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

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.

Responsibilities

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.

Requirements

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.

Desired Qualifications

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.

Benefits

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

Skills

Machine LearningNLPInformation RetrievalPythonPyTorchvector searchtransformer modelslarge language models

#Copilot#Machine Learning#NLP#Search#Information Retrieval

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