Demo

Founding Machine Learning Scientist in Chemistry

Bloom Life Science
San Francisco, CA Full Time
POSTED ON 1/26/2025
AVAILABLE BEFORE 4/22/2025

Founding Machine Learning Scientist in Chemistry

150 - 250K

Are you a talented machine learning engineer eager to create something groundbreaking?

In an era where the life sciences sector invests over $12 billion annually on toxicology assessments, imagine if we could significantly streamline lab experiments through in silico methods. What if we could achieve superior results in a fraction of the time and cost?

The Company

This innovative company is on a groundbreaking mission to transform the landscape of scientific discovery. Each year, the life sciences industry allocates vast amounts to toxicity testing - processes that are often slow, costly, and reliant on animal testing. Our goal is to improve this dramatically.

By replacing traditional lab experiments with advanced AI-driven predictions, we not only save time and resources, but also expedite the development of groundbreaking medications, sustainable foods, and revolutionary crops.

Since our inception in 2023, we have already begun collaborations with leading pharmaceutical firms and have ambitious growth objectives for 2025 and beyond.

Your Impact

Your profound knowledge of chemical structures, properties, and reactions will be essential in creating models that predict molecular behavior with unmatched accuracy. As a founding member, you will connect intricate chemistry theories with state-of-the-art AI technology.

In this role, you're not just a senior researcher; you become a key member of the founding team with equity, influence, and ownership. Your unique combination of chemistry expertise and machine learning prowess will help define the technical strategy from the outset.

Why This Role Stands Out

  • Lead Technical Decisions : This is your chance to architect and build the core AI platform from scratch, rather than maintaining existing systems.
  • Access Unique, High-Quality Data : Say goodbye to problematic public datasets; you'll work with our proprietary, high-quality data, enabling you to construct remarkable models.
  • Make a Tangible Difference : Your models will be actively used by scientists, driving real-world discoveries rather than remaining confined to research papers.

You Will Excel If You :

  • Enjoy designing complex machine learning systems and deploying them in production.
  • Possess deep expertise in PyTorch and modern ML infrastructure.
  • Are enthusiastic about graph neural networks, self-supervised learning, or molecular property prediction.
  • Want to collaborate directly with scientists to see your models influence scientific decisions.
  • Have a solid understanding of chemistry within drug discovery contexts and prior experience with biochemical data.
  • Are prepared to take initiative and steer the company’s technical direction.
  • Tech Stack :

  • Proficient in PyTorch for model development.
  • Familiar with vision transformers & graph neural networks.
  • Experienced with cloud infrastructure (AWS / GCP) for scalable training.
  • Knowledgeable in modern MLOps tools (Ray, W&B).
  • Acquainted with molecular modeling libraries (RDKit).
  • What's In It For You?

  • Compelling Salary : Earn up to $250K, depending on your experience.
  • Equity in the Founding Team : Participate in the company’s success.
  • Direct Impact : Witness your work accelerate authentic drug discovery initiatives.
  • Growth Potential : Evolve with the company as it scales.
  • Build Something Meaningful : Gain invaluable experience in establishing a deep tech company from the ground up.
  • Interview Process :

    We prioritize a transparent and straightforward interview process, typically lasting 2-3 weeks :

  • Initial Conversation : Discuss your background and ambitions while learning about the role and the company.
  • CEO Meeting : Introductory call with your prospective manager, focusing on your technical background and cultural fit. This is also an excellent opportunity for you to ask questions.
  • Technical Assessment : Participate in a technical session with a senior team member, followed by a take-home coding assignment (Python).
  • On-Site Meeting : Engage with the founding team, present research of interest, and experience our collaborative environment firsthand.
  • Hit apply or reach out to us at ali@bloomlifescience.com if you'd like to make a strong impression and discuss this exciting opportunity.

    Keywords : Machine Learning, Deep Learning, Artificial Intelligence, AI, Chemistry, Property Prediction, Toxicity, Graph Neural Networks, GNN, Drug Discovery, Drug Development

    Salary : $12 - $250,000

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