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2 часа назад

Scientist / Senior Scientist, Multimodal AI

179 400 - 330 000$
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
Scientist / Senior Scientist, Multimodal AI (Computer Vision and Multimodal Machine Learning): Building scalable foundation models and data-fusion systems that combine biomedical imaging with molecular and language data, with an accent on spatial embeddings, multimodal integration, and biological prediction. Focus on training large models across distributed cloud infrastructure, processing petabyte-scale image repositories and multi-omics streams, and translating complex biological data into reliable production systems.

Location: San Francisco Bay Area, CA; San Diego, CA

Salary: $179,400–$330,000 annually, depending on level and location.

Company

hirify.global develops cell rejuvenation technologies to restore cell health and resilience and address disease, injury, and age-related disabilities.

What you will do

  • Design, code, and train large-scale foundation models, including Vision Transformers and Multimodal LLMs.
  • Build models that embed spatial data and integrate biomedical imaging, molecular, and language modalities.
  • Implement cross-domain data-fusion strategies for heterogeneous biological datasets.
  • Build and manage high-performance ML pipelines for petabyte-scale image repositories and multi-omics streams in cloud environments.
  • Collaborate with experimental scientists and software engineers to develop scalable distributed systems and production-ready code.

Requirements

  • PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
  • Deep hands-on experience with modern Computer Vision architectures, including Vision Transformers, U-Nets, and self-supervised learning.
  • Experience training and fine-tuning large models at scale with PyTorch Distributed, DeepSpeed, or JAX.
  • Expert-level Python skills and experience building production-ready ML code and large-scale data management systems.
  • Technical contributions demonstrated through high-impact publications or significant open-source ML framework work.

Nice to have

  • Experience with multimodal fusion, such as aligning image embeddings with transcriptomic or proteomic data.
  • Proficiency with AWS or GCP, Kubernetes, Docker, and automated MLOps workflows.
  • Experience handling noise and sparsity in biological data.

Culture & Benefits

  • Work in a multidisciplinary environment focused on scientific excellence and cell rejuvenation.
  • Collaborate with scientists and engineering teams across a global research community.
  • Inclusive culture centered on belonging, diverse perspectives, and shared responsibility for the mission.
  • Employment opportunities are available at Scientist I, Scientist II, and Senior Scientist I levels.

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