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2 дня назад

Applied Scientist (AI)

100 600 - 215 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Scientist (AI): Designing, training, and optimizing large-scale machine learning models for Bing Search relevance and ranking using advanced AI technologies and large language models. Focus on end-to-end model development, leveraging LLMs for query and document understanding, summarization, and addressing cold-start data challenges at a global scale.

Location: Seattle, United States. Employees within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week starting January 26, 2026.

Salary: USD $100,600 – $199,000 per year (up to USD $215,400 in San Francisco Bay Area and New York City metropolitan area).

Company

hirify.global is the Core Search and AI team (Bing) responsible for building the next generation of search using advanced AI technologies and large language models.

What you will do

  • 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 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.

Requirements

  • Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 2+ years related experience.
  • OR Master’s Degree in a related field AND 1+ year(s) related experience.
  • OR Doctorate in a related field.
  • Experience building and improving large-scale Machine Learning systems for search, ads, or recommendation.
  • Research background on Machine Learning, LLM, and NLP.
  • Strong problem-solving abilities.

Culture & Benefits

  • Empower every person and organization on the planet to achieve more.
  • Foster a culture of inclusion, growth, and innovation.
  • Built on values of respect, integrity, and accountability.

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