Snowflake Computing-posted 9 months ago
$195,000 - $287,500/Yr
Full-time • Senior
Bellevue, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Snowflake delivers a unified platform for secure development and deployment of LLMs and ML models. Snowflake AI and ML capabilities allow you to create generative AI applications with fully managed and enterprise-grade LLMs while providing full governance. We are seeking a highly skilled Research Scientist to join our AI research team. The ideal candidate will have deep expertise in multi-modal retrieval systems and extensive experience in developing foundation vision language models. This role involves pioneering research in data curation, model training, fine-tuning, alignment, and evaluation.

  • Conduct cutting-edge research on multi-modal retrieval systems, including text, image, video, and structured data interactions.
  • Design and develop multi-modal foundation models, focusing on data curation, pre-training, fine-tuning, alignment, and evaluation.
  • Collaborate with cross-functional teams to integrate research innovations into production-ready solutions.
  • Publish research findings in top-tier conferences and journals (NeurIPS, ICML, CVPR, ACL, etc.).
  • Stay ahead of the latest advancements in machine learning, retrieval systems, and multi-modal AI.
  • PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Strong expertise in multi-modal retrieval systems and foundation vision language models.
  • Research experience in at least one major area of model development: Data curation, Pre-training, Fine-tuning, Alignment, Evaluation.
  • Hands-on experience with large-scale training pipelines and distributed training frameworks.
  • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, JAX.
  • Strong coding skills in Python and familiarity with scalable computing environments (e.g., GPUs, TPUs, distributed systems).
  • Experience with contrastive learning, self-supervised learning, or cross-modal embeddings.
  • Familiarity with retrieval-augmented generation (RAG) techniques.
  • Familiarity with vision language models and their versatile applications.
  • Strong publication record in relevant AI/ML conferences and journals.
  • Experience collaborating with engineering teams to deploy research in production.
  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan.
  • Flexible spending & health savings account.
  • At least 12 paid holidays.
  • Paid time off.
  • Parental leave.
  • Employee assistance program.
  • Other company benefits.
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