Overview

Can machine learning help solve diseases?Deep Origin is a biotechnology company accelerating drug discovery through machine learning and simulation. Our platform simulates biological systems, predicts their properties, and generates solutions to unders…

Responsibilities:
  • The ML models that will deliver the next breakthroughs in drug discovery have yet to be invented—and you will help create them.
  • You will design and train large-scale ML models for biological systems while reading, understanding, and contributing to state-of-the-art research.
Required Qualifications:
  • Hands-on experience designing, implementing, and training large-scale ML models.
  • Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning.
  • Deep understanding of optimization methodologies for ML models.
  • Solid understanding of statistics, probability, and linear algebra.
  • Strong software engineering practices (clean code, version control, testing).
Nice To Have:
  • Publications in top-tier ML conferences and journals.
  • Open-source contributions to machine learning libraries and scientific simulation frameworks.
  • Experience developing robust ML models within low-data regimes and data-constrained environments.
  • Achievements in IOI, IMO, IPhO, IChO, ICPC, IMC, or related Olympiads.
  • Ph.D. in a relevant field.
Note:

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