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AI Scientist/Engineer, Model Training

A Mars-shot AI startup focused on reinventing cancer therapy through theoretical physics and deep learning methodology.
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI · Healthcare · Biotech
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Description For AI Scientist/Engineer, Model Training

Conquest Labs, an innovative AI startup, is revolutionizing cancer therapy through the fusion of theoretical physics and cutting-edge deep learning methodology. We're seeking an exceptional AI Scientist/Engineer to join our ambitious team in Palo Alto. This role represents a unique opportunity to make meaningful contributions to oncology advancement through sophisticated AI applications.

The position demands expertise in machine learning, with a focus on developing novel approaches for complex biological systems. You'll be working with state-of-the-art technologies including PyTorch, TensorFlow, and other modern ML frameworks to create and train models that predict perturbation-response in high-dimensional dynamical systems. The role involves hands-on work with biological data and requires collaboration with both computational and wet lab teams.

The ideal candidate will have an advanced degree (MS/PhD/Postdoc) in Physics, Applied Mathematics, Computer Science, or related fields, bringing strong theoretical foundations alongside practical ML expertise. You'll be working in our Palo Alto office, where you'll have the opportunity to shape the future of cancer therapy through AI innovation.

This role offers the chance to work at the intersection of AI and healthcare, making a real impact on cancer treatment approaches. You'll be responsible for managing data infrastructure, developing novel ML approaches, and working with robotic platforms for experimental campaigns. The position requires someone who values collaborative development and can maintain high coding standards in a production environment.

Join us in our mission to transform cancer therapy through the power of AI and theoretical physics. This is more than just a technical role – it's an opportunity to contribute to potentially life-changing medical advances while working with cutting-edge AI technology.

Last updated a month ago

Responsibilities For AI Scientist/Engineer, Model Training

  • Develop novel approaches and train models for prediction of perturbation-response in complex, high-dimensional dynamical systems
  • 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 For AI Scientist/Engineer, Model Training

Python
  • 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

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