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Applied Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Applied Scientist (AI): Building and optimizing next-generation search engines and grounding systems with an accent on semantic search, LLMs, and multi-modal NLP. Focus on driving innovation from idea to production, improving search and Copilot quality, and optimizing model training and inference.

Location: Expected to work from the office at least four days per week in Beijing, China.

Company

hirify.global is the engine powering semantic search across Microsoft, building next-generation search engines and grounding systems to lead technical waves and improve the quality of Search, Copilot, and AI-benefiting tools.

What you will do

  • Apply state-of-the-art research and industry innovations to enhance Search/Grounding quality with measurable business impact.
  • Independently lead exploration from idea/design through experiments to product deployment.
  • Collaborate effectively with product, algorithm, and engineering partners globally to advance projects.
  • Optimize and implement productivity and agility in model training/inference code, data pipelines, tools, and shipping processes.
  • Mentor and guide junior team members on technical aspects, attitude, and work methodology.
  • Drive data quality improvements and maintain/update online systems for feature changes.

Requirements

  • Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 2+ years of relevant experience, OR Master’s Degree + 1 year, OR Doctorate.
  • Prior experience in Research, Applied Science, Search/Recommendation, or solid deep model training.
  • Experience with common machine learning, deep learning frameworks, LLMs, and prompting.
  • Proficiency in PyTorch or TensorFlow.
  • Expected to work from the office at least four days per week in Beijing, China.

Nice to have

  • Bachelor’s Degree + 5+ years, OR Master’s Degree + 3+ years, OR Doctorate + 1+ year of relevant experience.
  • Solid experience and understanding of Deep models and retrieval.
  • Solid research experience and publications.
  • Familiarity with model optimization on training/inference and GPU.

Culture & Benefits

  • Empower every person and organization to achieve more with a growth mindset.
  • Work in a collaborative culture built on values of respect, integrity, and accountability.
  • Join a team that fosters inclusion and allows everyone to thrive at work and beyond.
  • Leverage the latest innovations to solve customer problems globally.
  • Contribute to a sharing team culture through discussions and innovative ideas.

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