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5 дней назад

Senior Research Scientist (AI)

Формат работы
hybrid
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 Research Scientist (AI): Fine-tuning, evaluating, and serving language models for an AI product transforming clinical trials with an accent on retrieval systems, reinforcement learning, and production inference. Focus on translating bioscience knowledge into model and data design, balancing quality, latency, and cost, and productionizing research improvements.

Location: Austin, Texas, United States; hybrid work model

Company

hirify.global is a Healthtech company using AI to accelerate drug development and improve clinical trial outcomes.

What you will do

  • Fine-tune and evaluate proprietary language models for domain-specific clinical tasks.
  • Design and build retrieval systems tailored to clinical trial data.
  • Own production inference and serving, balancing model quality, latency, and cost.
  • Apply reinforcement learning and related techniques to improve model behavior.
  • Collaborate with Data and AI Engineering teams to define training and evaluation data and productionize research improvements.
  • Track research literature and contribute to future publications and open-source releases.

Requirements

  • Graduate degree in machine learning, NLP, or a related field, or equivalent industry experience.
  • Experience fine-tuning large language models and building or using retrieval systems.
  • Strong understanding of modern reinforcement learning techniques for language models.
  • Experience with model inference and serving at scale.
  • Strong Python and machine learning framework experience.
  • Familiarity with MLOps, experiment tracking, versioning, reproducibility, and applying research papers to product problems.

Nice to have

  • Background or strong interest in biology, life sciences, or clinical research.
  • Publications at ML or NLP venues such as NeurIPS, ACL, or ICML.
  • Experience with model quantization, efficient inference, knowledge graphs, or open-source ML tooling.

Culture & Benefits

  • Hybrid work environment with an international team.
  • Private health coverage.
  • MacBook provided.
  • Company events and a pet-friendly office.
  • Opportunity to move research into production and contribute to publications and open-source work.

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