inceptive
Foundation and generative models for biomolecules
$200K–$275K
Berlin, Germany or Palo Alto, CA or Zurich, Switzerland +3 · Full-time · Posted Oct 29, 2025
- Location
- Berlin, Germany or Palo Alto, CA or Zurich, Switzerland
Berlin, Berlin, Germany
Palo Alto, California, United States
Zürich, Zürich, Switzerland - Experience
- 3+ years of hands-on ML model development.
- Education
- PhD in AI/ML, computer science, computational biology, physics, or a related field, or equivalent practical experience.
About the job
Develop and improve large-scale machine learning and generative models that design therapeutic biomolecules, translating model capabilities into potential therapeutic designs.
What you'll do
- Develop, implement, train, and improve biomolecule-design models.
- Analyze and communicate results; build tools for reliable ML experimentation and production.
- Work with biologists to collect training and evaluation data, and provide mentorship and technical direction as appropriate.
What they ask for
- 3+ years of hands-on experience developing ML models.
- Demonstrated track record implementing, training, and improving advanced machine learning models.
- Fluency in the Python ecosystem and PyTorch or a similar deep learning framework.
- Availability for cross-region meetings (8am PT to 7pm CET), readiness to travel several times a year, and primarily working from an office location.
Nice to have
- PhD in a listed related field, or equivalent practical experience; strong ML experiment design and modern generative-model experience.
- Experience with large-scale/foundation-model training, bio sequence data, or relevant biology and drug development.
Pay
$200K – $275K (base salary; currency not stated) + Bonus + Equity
Tools
Python, PyTorch
AI focus
Training large-scale foundation models and developing generative approaches to design therapeutic biomolecules, using diverse datasets, fine-tuning, and experimental feedback.
Model-written summary · the original posting is authoritative