Machine Learning Internship

About the job

About The Role…

You will be part of a team that uses deep learning and modern natural language processing (NLP) techniques to analyze genomic and protein sequence data. The aim of this work is to drive better nomination of genome editing targets and engineer proteins to improve the performance and resource use efficiency of crop plants. Together with our data scientists, engineers, and computational biologists you will use language models to improve the prediction of phenotype from genotype. Previous experience in genetics or biology is not required.

As A Machine Learning Intern you will….

    • Be an early contributor to the young, but rapidly growing field of using deep learning and language models on biological sequences
    • Train NLP models on genomic and protein sequence data in conjunction with our data scientists and software engineers
    • Understand current machine learning literature and consider applications to genomic data
    • Gain experience working in a cloud environment with containerized workflows
    • Gain exposure to current genomic data
    • Develop a basic understanding of modern genetics, protein biochemistry, and genome editing
    • Be an active participant in multiple science project teams

You bring…

  • Extensive experience writing code and analysing data in Python
  • Experience with NLP and deep learning methods such as Transformers, CNNs, RNNs, unsupervised learning and reinforcement learning
  • Experience with machine learning libraries like TensorFlow and/or PyTorch
  • Knowledge of high dimensional data visualization and analysis methods
  • A curiosity about genetic data and an interest in improving agriculture
  • A collaborative mindset; open to giving and receiving ideas, perspectives, and feedback

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