Lead, Machine Learning Engineering & AI Research

1910Genetics in Boston, Massachusetts

Company Overview
Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.

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
None
    • Work closely with our academic Founding Scientist to build and launch our protein design platform with several applications including but not limited to protein structure refinement, protein structure prediction, therapeutic protein design, among other basic and translational research applications
    • Own
    • Propose innovative AI/ML models that address specific use cases in our drug discovery process
    • Develop and launch prototype models
    • Productionize AI/ML models on AWS
    • Own the company’s AWS Infrastructure
    • Grow the team
    • Teach
    • Teach their cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them
    • Learn
    • Drug discovery and development
    • Improve
    • Our existing process for incorporating AI/ML into drug discovery

    • 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

    • Productionize AI/ML models on AWS that would become a cornerstone of the company’s drug discovery efforts

    • Continue improving the first set of production-grade AI/ML models on AWS
    • Build and produce improved AI/ML models on AWS to harmonize, and accelerate our drug discovery process

    • Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers

    • 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

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