Member of the Technical Staff, Computer Vision Model Training

Conquest

  • Palo Alto, California
  • 28 days ago
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Biologyunmatched
    • Campaignsunmatched
    • Cancerunmatched
    • Computer Scienceunmatched
    • Computer Visionunmatched
    • Data Setsunmatched
    • Deep Learningunmatched
    • Gaussian Processesunmatched
    • Mathematicsunmatched
    • Oncologyunmatched
    • Physicsunmatched
    • Predictive Modelingunmatched
    • Software Developmentunmatched
    • Startupunmatched
    • Statisticsunmatched
    • Structured Dataunmatched

    Description

    We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.

    Responsibilities

    • Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system

    • Co-design data-for-models experimental campaign at scale on robotic platform

    • Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain

    • Oversee data infrastructure across pipeline from software development environment to wet lab

    Requirements

    • In office 5 days a week

    • MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.

    • Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention

    • Zeal for best practices in group development and coding to production

    • Past experience working with biological data a plus

    Tech Stack

    • Python

    • PyTorch

    • TensorFlow

    • NumPy

    • Pandas

    Numbers & Facts

    LocationPalo Alto, California

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