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13 часов назад

Senior Machine Learning Scientist (Agentic AI)

169 800 - 212 300$
Формат работы
remote (только USA)
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 Machine Learning Scientist (Agentic AI): Designing and deploying production-grade autonomous AI agents and multi-modal foundation models for oncology with an accent on multi-step biological reasoning and multi-omic data integration. Focus on architecting systems for autonomous hypothesis generation, tool use in cancer genomics, and translating complex data into clinical insights.

Location: Remote (USA)

Salary: $169,800 – $212,300 USD

Company

hirify.global is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health through personalized genetic diagnostics.

What you will do

  • Lead the technical design and deployment of multi-agent systems for autonomous hypothesis generation and clinical trial matching.
  • Advance transformer-based foundation models by integrating DNA, RNA, and H&E imaging modalities.
  • Implement LLM reasoning frameworks (ReAct, Chain-of-Thought) and reinforcement fine-tuning (RFT) to ensure explainable clinical rationales.
  • Architect systems that translate complex multi-modal data into human-verifiable diagnostic and therapeutic insights.
  • Own the technical strategy and product roadmap for agentic workflows across Biopharma Solutions and Therapeutics Discovery.
  • Establish production-grade ML engineering standards to ensure model transparency and scientific auditability.

Requirements

  • PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field.
  • 8 or more years of experience in AI research or engineering, moving multi-agent architectures from prototype to production.
  • Deep experience with agentic frameworks (LangChain, Claude Agent SDK), RAG, and validation frameworks for autonomous agents.
  • Strong understanding of cancer genomics (WES/WTS), mutational signatures, and structure-activity relationships.
  • Advanced PyTorch development and experience with distributed training on large GPU clusters (NVIDIA H100s).
  • Must be based in the USA.

Culture & Benefits

  • Annual performance incentive bonus and long-term equity awards.
  • Comprehensive health benefits including medical, dental, and vision plans.
  • 401(k) with company match.
  • Generous paid time off and company holidays.
  • Free genetic testing for employees and their immediate families.

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