Summer 2024

Machine Learning Intern

Posted on 4/12/2024

Recursion Pharmaceuticals

Recursion Pharmaceuticals

501-1,000 employees

Clinical-stage biotechnology company for drug discovery

No salary listed

Toronto, ON, Canada

Category
AI & Machine Learning (3)
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Required Skills
Kubernetes
CUDA
Data Structures & Algorithms
Pytorch
BigQuery
Docker
Pandas
NumPy
Linux/Unix
Google Cloud Platform
Requirements
  • Expert knowledge of deep learning theory and practice
  • Experience working with biological data (microscopy, genetics, rnaSeq, etc.)
  • Contribute to the development or implementation of deep learning algorithms and architectures, particularly leveraging self-supervised learning
  • Run large scale experiments evaluating 100s of hyper parameters
  • Run and interpret benchmarks for assessing model performance
  • Contribute to conference and journal publications
  • Experience with PyTorch, NumPy, Pandas, GCP, Hybrid Cloud, Linux, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems
Responsibilities
  • Contribute to developing algorithms and architectures and training models on large biological datasets
  • Leverage Recursion’s leading supercomputer, training models across 100s of GPUs
  • Explore properties of the resulting representation model on a range of benchmarks
  • Work collaboratively alongside machine learning engineers, scientists, and product managers
Recursion Pharmaceuticals

Recursion Pharmaceuticals

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Recursion is a clinical-stage biotechnology company utilizing a synchronized combination of hardware, software, and data to industrialize drug discovery and decode complex biology, reshaping the traditional drug discovery funnel through technological innovations. Their approach integrates biology, chemistry, automation, and data science to build a next-generation biopharmaceutical company.

Company Size

501-1,000

Company Stage

Post IPO Equity

Headquarters

Salt Lake City, Utah

Founded

2013

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