Staff Machine Learning Scientist
: Job Details :


Staff Machine Learning Scientist

Storm3

Location: Santa Rosa,CA, USA

Date: 2025-01-06T04:12:02Z

Job Description:

âš¡ Staff Research Engineers/Scientists

💊 LLM/Foundation Models for Life Science ($100M+ Seed)

🌎 San Francisco Bay Area, USA

💸 $250,000 - $350,000 salary + bonus + equity

Come join a revolutionary stealth biotech building Foundational Models/LLMs across multiple modalities in drug discovery, biology and bio-manufacturing!

Opportunity to join as an early 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 LLM models for a multimodal approach to biodiscovery
  • Research and iterate models to ensure optimal-performance data transformation
  • Navigate the latest literature and fine-tune LLMs 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 ...@storm3.com

âš¡ 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 intel

Apply Now!

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