2026 Summer Intern - Gcs Aidd

Genentech

South San Francisco, CA, US
Base: $50.00 ph; bonus/equity: not specified; bene...
Generative modeling techniques
Reinforcement learning expertise
Proficiency in python and ml frameworks
This internship focuses on applying reinforcement learning from human feedback to molecular generation to accelerate drug design

Job Summary

  • This internship focuses on applying reinforcement learning from human feedback to molecular generation to accelerate drug design.
  • Interns will participate in cutting-edge research, collaborate with cross-functional teams, and present results for scientific conferences.
  • The program is a paid, intensive 12-week full-time summer internship located on site in South San Francisco.

Matching Summary

This internship focuses on applying reinforcement learning from human feedback to molecular generation to accelerate drug design.

Salary

Base: $50.00 per hour; Bonus/Equity: Not specified; Benefits: Paid holiday time off

Skills & Requirements

Must-have

  • Generative modeling techniques
  • Reinforcement learning expertise
  • Proficiency in Python and ML frameworks
  • Molecular generation applications
  • Independent research and prototyping

Nice-to-have

  • Experience with RLHF methods
  • Familiarity with cheminformatics
  • Contributions to open-source ML projects
  • Excellent interdisciplinary collaboration skills

Key Requirements

  • Current Ph.D. student in related technical field
  • Strong publication record or impactful research
  • Experience in reinforcement learning or generative modeling
  • Proficiency with PyTorch, TensorFlow, or JAX

Work Rights

Not specified

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