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Applied Scientist II

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Microsoft Corporation

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Location:
United States , Redmond

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

100600.00 - 199000.00 USD / Year
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Job Description:

Are you interested in solving large‑scale search problems and building next‑generation of Query Understanding solutions powered by LLMs and SLMs? If yes, the Bing Orca team is for you! The Orca team is a research‑driven applied science and engineering group building the next generation of efficient, scalable, and highly capable AI models. Our mission is to push the boundaries of model reasoning, compression, and alignment—making advanced intelligence accessible, reliable, and cost‑effective across Microsoft’s ecosystem. We are hiring an Applied Scientist II to join our world of search retrieval, ranking, relevance optimization, driving real user impact in production systems at global scale.

Job Responsibility:

  • Develop, train, and evaluate machine learning models with guidance from senior scientists.
  • Implement model improvements through experimentation, data analysis, and iterative refinement.
  • Contribute to the team’s core codebase, including training pipelines, evaluation tools, and automation.
  • Build and maintain tooling that improves research velocity, experiment tracking, and model debugging.
  • Support the development and operation of model‑serving infrastructure with a focus on reliability and performance.
  • Collaborate with engineers and researchers to bring models from prototype to production‑ready systems.
  • Participate in code reviews, documentation, and best‑practice engineering processes.

Requirements:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
  • Ability to collaborate effectively in a fast‑paced research and engineering environment.
  • Solid problem‑solving skills and eagerness to learn new methods, tools, and systems.
  • Experience training, fine‑tuning, and evaluating small or efficient language models (SLMs) at scale.
  • Familiarity with PyTorch or TensorFlow and common ML tooling
  • Experience with Search and Query Understanding, including ranking models, retrieval pipelines, relevance evaluation, or semantic understanding of queries is a huge plus.
  • Solid ability to translate research ideas into reliable, maintainable code.
  • Demonstrated ability to work effectively with cross‑functional teams, including researchers, engineers, and product partners.

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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