12 часов назад
AI Research Engineer
190 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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