Demo

Staff Machine Learning Scientist

Storm3
Sonoma, CA Full Time
POSTED ON 1/19/2025
AVAILABLE BEFORE 4/16/2025
  • Staff Research Engineers / Scientists
  • Biology Foundation Models ($100M Seed)
  • San Francisco Bay Area, USA
  • 250,000 - $350,000 salary bonus equity
  • Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery .

    Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern LLM architectures - Diffusion, GNN, Normalizing Flows etc.

    Responsibilities :

    • Design, develop and train novel AI models for a multimodal approach to biodiscovery
    • Research and iterate models to ensure optimal-performance data transformation
    • Navigate the latest literature and fine-tune models geared towards biological breakthroughs
    • Proactively impact the roadmap & talent onboarding for their development
    • Requirements :

    • MS or PhD in Comp Sci / ML, Chem, Bio or related field
    • 5 years development & training of LLM / Diffusion / GNN models for 7-70b param models
    • Experience in computational packages applied to chem / bio (bonus)
    • Proficiency in leveraging high compute GPU clusters
    • Why apply :

    • Opportunity to build out a new division at the forefront of AI innovation
    • FAANG competitive salary & package
    • Work alongside superstars from FAANG, Genentech & AI pioneering companies
    • Medical, Dental and Vision Insurance
    • Relocation package available
    • San Francisco Bay Area, USA
    • Interested in applying? Please click on the Easy Apply button or alternatively email me your resume at anir.gantugs@storm3.com
    • Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el

    Salary : $250,000 - $350,000

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