Startups · AI

Foundation and generative models for biomolecules

Inceptive · Berlin, Germany or Palo Alto, CA or Zurich, Switzerland · On-site

← All jobs
About Inceptive

We build models of life beyond human understanding. Our models extrapolate from data to design breakthrough medicines for humanity’s most challenging diseases. Backed by a16z.

About the role

At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

What they're looking for

  • 3+ years of hands-on experience developing ML models
  • Demonstrated track record of implementing, training, improving advanced machine learning models
  • Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework
  • Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
  • Readiness to travel several times a year for company retreats and business events
  • We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations
More about this role

At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

The design space of biomolecules is unimaginably vast — far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

  • Embody our vision of an antedisciplinary environment and embrace learning about areas outside...

Read the full posting on Inceptive's site ↗

Development

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.