Advisor - Applied Deep Learning Architect

Eli Lilly

San Diego, CA, US
Base: $151,500 - $222,200; bonus/equity: compyny b...
On-site
Deep learning architectures
Transformers, diffusion models, flow-matching models
Multi-modal embeddings
Design, implement, and evaluate generative and predictive deep learning architectures—transformers, diffusion models, flow-matching models, and graph neural networks

Job Summary

  • Design, implement, and evaluate generative and predictive deep learning architectures—transformers, diffusion models, flow-matching models, and graph neural networks.
  • Develop multi-modal embeddings that unify protein sequence, structure, and molecular fingerprints, researching novel tokenization schemes and fusion mechanisms.
  • Stay at the frontier of AI/ML and computational biology research; identify high-impact directions that advance the foundational model platform and translate them into actionable strategies for the team.

Matching Summary

Design, implement, and evaluate generative and predictive deep learning architectures—transformers, diffusion models, flow-matching models, and graph neural networks.

Salary

Base: $151,500 - $222,200; Bonus/Equity: company bonus; Benefits: comprehensive benefit program

Skills & Requirements

Must-have

  • deep learning architectures
  • transformers, diffusion models, flow-matching models
  • multi-modal embeddings
  • protein sequence, structure, and molecular fingerprints
  • Python and modern AI/ML frameworks

Nice-to-have

  • protein engineering, protein language models
  • generative protein models
  • molecular dynamics simulations
  • high-impact publications
  • cross-functional collaboration

Key Requirements

  • Ph.D. in Computer Science, Artificial Intelligence, Theoretical Computer Science, Applied Mathematics, Computational Biology, Physics, or a related field
  • Strong expertise in modern deep learning architectures
  • Proficiency in Python and modern AI/ML frameworks (PyTorch or TensorFlow)
  • Familiarity with good software engineering practices including Git version control, code review, testing, and documentation
  • 1-3 years of industry experience in development and deployment of Novel Deep Learning Architecture

Work Rights

Not specified

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