Company overview:

1910 Genetics is the only company that has built a synergistic, dual-purpose small and large molecule platform that integrates artificial intelligence (AI), computation, and biological automation to design drug-like molecules better, faster, and cheaper than traditional approaches. Based in the Seaport District of Boston, 1910 Genetics is a Series A stage biotechnology startup that was founded in 2018 and is backed by prestigious investors, including M12-Microsoft’s Venture Fund, Sam Altman – the CEO of OpenAI (makers of ChatGPT), Playground Global, Y Combinator, New Ventures Funds (Scientia Ventures), and many others.

At 1910 Genetics, we first established an understanding of the molecular basis of disease to the granularity at which the world understands sickle cell anemia. This understanding centers biology as our North Star and drives our integration of artificial intelligence (AI), computation, and biological automation to accelerate the design of small molecule and protein therapeutics.

Recent advances in computational technologies have placed historically “undruggable” targets within therapeutic reach. But at 1910 Genetics, we often say “Biology is King,” meaning that computational technologies are only impactful in drug discovery when driven by experimental biology. Our platforms’ scale and breadth empower us to be therapeutic area-agnostic with programs ranging from neuroscience and immunology to infectious disease and oncology, to name a few.

You are someone we can count on to...
  • Act as both an Individual Contributor (IC), who can roll up her sleeve, and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets, as well as a Leader who can build and grow the ML Engineering & AI Research team over time
You will own...
  • Proposal of innovative AI/ML models that address specific use cases in our drug discovery process
  • Development and launch prototype models
  • Productionization of AI/ML models on AWS
  • The company’s AWS Infrastructure
  • The growth of the ML Engineering & AI Research team
You will teach...
  • Your cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them
You will learn...
  • The process of drug discovery and development
You will improve...
  • Our existing process for incorporating AI/ML into drug discovery
Within 1 month you will...
  • Form a view on which AI/ML models address the highest need use cases in our drug discovery process
  • Begin prototyping AI/ML models on AWS
Within 3 months you will...
  • Productionize AI/ML models on AWS that would become a cornerstone of the company’s drug discovery efforts
Within 6 months you will...
  • Continue improving the first set of production-grade AI/ML models on AWS
  • Build and productionize improved  AI/ML models on AWS to harmonize, and accelerate our drug discovery process
Within 12 months you will...
  • Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers

This is an exciting time to join a fast growing startup on a mission to save human lives. If you enjoy working on important problems with a small team of passionate and fun individuals, come join us!

Compensation & benefits
  • Extremely generous equity package coupled with competitive salary
  • Healthcare benefits
  • Generous vacation and parental leave
  • Super cool team building activities
  • Flexible work schedule
  • Great colleagues

Lead, Machine Learning Engineering & AI Research Boston, MA / Machine Learning Engineering
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