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12 часов назад

AI Research Engineer

190 000 - 280 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Research Engineer (Deep Learning/Drug Discovery): Developing and deploying production-ready AI and machine learning models that accelerate the identification and development of protein and antibody therapeutics, with an accent on large-scale model training, scalability, and rigorous engineering. Focus on translating research ideas into robust AI systems, solving complex life-science challenges, and collaborating across AI research, engineering, and drug discovery.

Location: San Francisco Bay Area or Seattle, WA, United States

Salary: $190,000–$280,000 base salary annually, plus bonus and equity

Company

hirify.global is a biotech startup applying generative AI and foundation models to drug discovery, therapeutic design, disease biology, target elucidation, and patient stratification.

What you will do

  • Develop and deploy AI and machine learning models for novel therapeutic discovery and development.
  • Build machine learning systems for production environments where rigor, scalability, and measurable impact are essential.
  • Translate research ideas into robust, production-ready solutions.
  • Collaborate with AI scientists, engineers, and drug discovery experts in an interdisciplinary environment.
  • Apply advanced AI techniques to complex challenges in healthcare and life sciences.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field; an advanced degree is preferred.
  • At least five years of industry experience in AI, machine learning, or a related role.
  • Experience implementing, scaling, and deploying AI models in production environments.
  • Expertise with modern deep learning toolchains and large-scale model training.
  • Strong understanding of deep learning fundamentals, problem-solving ability, and attention to detail.
  • Effective communication and collaboration skills in a fast-paced, multidisciplinary team.

Nice to have

  • Publication record at conferences such as NeurIPS, ICML, or ICLR.
  • Demonstrated industry impact in preference to publications.

Culture & Benefits

  • Interdisciplinary collaboration across AI, engineering, and drug discovery.
  • Competitive compensation package including base salary, bonus, and equity.
  • Opportunity to apply cutting-edge AI to improve human health.
  • Commitment to diversity and inclusion.

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