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Member of the Technical Staff, Computer Vision Model Training

Conquest
Posted a month ago, valid for 20 days
Location

Palo Alto, Santa Clara 94301, CA

Salary

Competitive

Contract type

Full Time

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Sonic Summary

info
  • We are looking for an AI Scientist / Engineer to join our innovative AI startup focused on reinventing cancer therapy.
  • The position requires a minimum of 5 years of experience in relevant fields such as Physics, Applied Mathematics, or Computer Science.
  • The role involves developing novel predictive models and overseeing data infrastructure for biological data.
  • Candidates should have expertise in machine learning, deep learning, and a passion for best coding practices.
  • The salary for this position is competitive and commensurate with experience.

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




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