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5 дней назад

Data Scientist - AI Agent (AI)

140 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Data Scientist - AI Agent (AI): Building and deploying sophisticated AI models and agents for healthcare products, using cutting-edge techniques to analyze complex datasets and unlock information from clinical data. Focus on architecting and implementing foundational models and LLM-based agents, conducting research on emerging advancements in LLMs and medical foundational models, and collaborating cross-functional teams to deliver solutions.

Location: Hybrid in San Bruno, US. This role is eligible for hirify.global-sponsored immigration support within the US.

Salary: $140,000–$200,000 USD + bonus + benefits

Company

hirify.global, a subsidiary of Alphabet, uses a data-driven approach to change how people manage their health and how healthcare is delivered.

What you will do

  • Collaborate with cross-functional teams to conceptualize, develop, and implement AI solutions tailored to diverse healthcare applications.
  • Architect and implement foundational models and large language model (LLM) based agents for optimal performance and efficiency.
  • Conduct cutting-edge research and stay informed on emerging advancements in LLMs, medical foundational models, and AI agents.
  • Effectively communicate complex technical methodologies and results through clear reports and presentations.

Requirements

  • Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics) or equivalent practical experience.
  • Experience with applying ML in digital health applications.
  • Direct experience working with LLM and familiarity with various prompt optimization technologies.

Nice to have

  • Ph.D. in Computer Science or Engineering.
  • Experience with LLM models, including prompting, fine-tuning, and retrieval augmented generation (RAG).
  • Familiarity with software engineering principles and experience deploying algorithms in production environments.
  • Experience developing transformer-based deep learning algorithms using TensorFlow or PyTorch.

Culture & Benefits

  • Be part of a diverse team innovating at the intersection of health and technology.
  • Receive flexibility, resources, and competitive benefits to support whole-person well-being.
  • Contribute to a culture of Inclusion, Belonging, and Equitability (VIBE).

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