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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь можно доводить передовые AI-исследования до продакшена в развивающейся сфере healthtech, но без указанной зарплаты и с ранней стадией стартапа остаются вопросы к уровню оплаты и стабильности компании.
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Зарплата не указанаРиски стартапаПонятные задачиСовременный стекAI в медицинеОт исследований к продукту
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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