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Principal/Staff Machine Learning Engineer

Company: Alldus International Consulting Ltd
Location: San Francisco
Posted on: April 3, 2025

Job Description:

Our client is a disruptive drug discovery company who are revolutionizing the Biotech industry. They have an opening for a Principal or Staff Level Machine Learning Engineer to join the team in San Francisco. The successful candidate will be responsible for implementing and scaling state-of-the-art computer vision and multi-modal models.Responsibilities

  • As the Principal/Staff Machine Learning Engineer, you will implement and optimize complex computer vision and multi-modal model architecture.
  • Work closely with the Engineering team and ML Scientists to turn ideas into robust, production-grade systems.
  • Build robust training pipelines for large-scale vision and multi-modal models.
  • Collaborate with top scientists, biostatisticians, and lab-automation experts to bring novel ML approaches to life.
  • Create efficient models and data components to optimize research and production model performance.Skillset
    • Masters degree or PhD in Computer Science or equivalent.
    • 5+ years of hands-on experience implementing complex ML Systems.
    • Strong understanding of modern computer vision techniques.
    • Extensive experience optimizing large-scale deep learning models.
    • Expert knowledge of PyTorch internals and best practices.
    • Strong background in computer vision fundamentals.
    • Previous experience in the Biotech or Drug Discovery industry is a plus.
    • Previous experience in a startup environment is a bonus.Benefits
      • Salary: $200k - $250k
      • Equity
      • Health, dental and vision insurance.**Please Note** This is a Hybrid working role with 3 days onsite required in South San FranciscoInterested? Apply Today!49417
        #J-18808-Ljbffr

Keywords: Alldus International Consulting Ltd, San Francisco , Principal/Staff Machine Learning Engineer, Engineering , San Francisco, California

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