Senior Applied Scientist · Microsoft

Tue, 28 Apr 2026 13:08:37 GMT
Engineering

Microsoft · Redmond · $119,800 - $234,700 per year · hybrid

Core Search and AI team (Bing) is looking for people who want to build the next generation of search using advanced AI technologies, especially large language models, at scale.

We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges.

Our work spans a very large scope of scenarios to deliver high quality search results by document/answers summarization for representation and ranking, query and document understanding, and AI search grounding.

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.

Responsibilities:

Design, train, and improve large-scale machine learning models for Bing Search relevance and ranking, with a focus on transformer-based and LLM-powered approaches.

Own end-to-end model development, including problem formulation, feature design, training, offline evaluation, and online A/B experimentation.

Develop and optimize multi-stage ranking stacks (recall, coarse ranking, fine ranking) to deliver high-quality, low-latency search results at global scale.

Leverage LLMs for query and document understanding, summarization, representation learning, and grounding to enhance ranking quality.

Address cold-start and sparse-data challenges through content understanding, pre-training, and representation sharing.

Qualifications:

Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ 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.

Additional or preferred qualifications:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

3+ years experience conducting research as part of a research program (in academic or industry settings).

1+ year(s) experience developing and deploying live production systems, as part of a product team.

1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Experience building and improving large scale Machine Learning system for search, ads, and recommendation.

Research background on Machine Learning, LLM and NLP.

Fantastic problem solver: ability to identify and solve problems that the world has not solved before.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more.

We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability.

If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI