Large-Scale Distributed Systems Developer

1 week ago


New York, New York, United States Genentech Full time

Career Opportunities:

We're seeking a skilled Machine Learning Engineer to join our team at Genentech Computational Sciences (gCS) Prescient Design. In this role, you'll develop large-scale distributed machine-learning algorithms and systems that will transform the drug discovery process.

About the Role:

You'll participate in cutting-edge research and development in LLMs for various internal applications, including biomedical and drug discovery use cases. You'll work closely with other engineers to ensure scalability and reliability, solving core ML and engineering challenges along the way.

What We Offer:

A highly competitive salary range of $144,900 - $269,100, depending on experience and qualifications. Benefits include relocation assistance, health insurance, and access to top academic institutions worldwide.

Requirements:

  • MS/BS in Computer Science, Statistics, or related field, or equivalent experience.
  • 2+ years of industry experience in machine learning or a PhD in Computer Science and related field.
  • Demonstrated success in technical capabilities deploying machine learning models in production environments or ML/LLM research.
  • Strong programming skills in Python and extensive interests/experience with deep learning/LLMs.
  • Dynamic and resilient individual who excels in a rapidly evolving environment.

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