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Lead, Machine Learning Engineering & AI Research

1910genetics
Boston, MA Full Time
POSTED ON 3/26/2025
AVAILABLE BEFORE 4/26/2025

Lead, Machine Learning Engineering & AI Research

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.

Please make sure you read the following details carefully before making any applications.

You are someone we can count on to...

  • Act as both an Individual Contributor (IC), who can roll up her sleeves, 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!

  • Extremely generous equity package coupled with competitive salary.

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