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2 дня назад

Senior Data Scientist (AI)

95 300 - 158 800$
Тип работы
fulltime
Грейд
senior
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

Senior Data Scientist (AI/NLP): Designing and scaling advanced AI solutions to accelerate scientific discovery with an accent on LLMs, RAG systems, and knowledge graphs. Focus on building evidence-grounded AI experiences, optimizing semantic search, and integrating scholarly content into production-ready AI workflows.

Location: Philadelphia, PA, USA

Salary: $95,300 - $158,800

Company

hirify.global provides AI-powered tools for researchers and clinicians to discover knowledge and advance science globally.

What you will do

  • Design and deploy advanced ML, NLP, and Generative AI solutions for scientific exploration and discovery.
  • Build LLM-powered applications for question answering, literature summarization, and research insight generation.
  • Develop retrieval-augmented generation (RAG) systems connecting AI models with trusted scholarly content.
  • Create intelligent capabilities for semantic search, ranking, recommendation, and entity extraction.
  • Design evaluation frameworks to measure AI reliability, grounding, trustworthiness, and user impact.
  • Collaborate with engineering and domain experts to scale, monitor, and optimize AI systems.

Requirements

  • Significant experience in Data Science, ML, AI, or NLP in production environments.
  • Advanced expertise in LLMs, prompt engineering, and RAG system implementation.
  • Extensive Python programming skills for building maintainable, production-quality software.
  • Proficiency with frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain.
  • Experience handling large-scale unstructured, text-rich scientific datasets.
  • Must be based in the USA (specifically Philadelphia, PA).

Culture & Benefits

  • Opportunity to work with one of the world's richest collections of scientific and biomedical data.
  • Direct impact on accelerating real-world scientific breakthroughs and improving health outcomes.
  • Collaborative environment spanning data science, engineering, research, and editorial teams.
  • Eligibility for an annual incentive bonus.
  • Access to country-specific benefits packages.

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