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Member of Technical Staff, Vibe Labs

LinkedIn Generate:Biomedicines Somerville, MA
Not Applicable Posted April 3, 2026 Job link
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Requirements
  • Be familiar with modern AI-assisted development practices.
  • Strong ML Foundations Solid understanding of modern machine learning methods (e.g., deep learning, generative models, foundation models).
  • Experience training, fine-tuning, or evaluating ML systems through research projects, internships, open-source work, or industry experience.
  • Experiences In Building Agent Systems Hands-on experience building agent systems and familiarity with common design patterns.
  • Familiarity with agent evaluation frameworks.
  • Experience working with cloud platforms (GCP, AWS, Azure), and/or alternative serverless databases and distributed computing frameworks.
Preferred Skills
  • Experience training, fine-tuning, or evaluating ML systems through research projects, internships, open-source work, or industry experience.
  • Publications are valued but not required.
  • Exposure to molecular modeling, protein design, small molecules, or computational biology is a plus — but strong ML candidates motivated to learn biology are encouraged to apply.
  • Experiences In Building Agent Systems Hands-on experience building agent systems and familiarity with common design patterns.
  • Familiarity with agent evaluation frameworks.
  • Experience working with cloud platforms (GCP, AWS, Azure), and/or alternative serverless databases and distributed computing frameworks.
  • About Generate:Biomedicines Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered.
Education
  • (Not required) – AI × Science Fluency Bachelor’s or advanced degree in a scientific or quantitative field (e.g., Biology, Chemistry, Physics, Computer Science, Engineering, or related).
  • (Not required) – Exposure to molecular modeling, protein design, small molecules, or computational biology is a plus — but strong ML candidates motivated to learn biology are encouraged to apply.