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Principal Machine Learning Engineer for Life Sciences at Calico

Calico is seeking a principal machine learning (ML) engineer to develop and productionize ML algorithms and software tools to support research into human aging and aging-related diseases. This person will be part of a cross-functional effort to build a world-class machine learning platform to advance research efforts at Calico, develop novel ML algorithms to solve challenging research questions, and play a critical role in defining and executing Calico’s strategy in computational biology and machine learning. Candidates should be comfortable dealing with various types of biological data or data at a scale such that required methods and tools have yet to be well-developed.

The ideal candidate should be comfortable analyzing data at scale; have experience implementing, extending, and debugging machine learning techniques; and have expertise in designing and building high-leverage data infrastructure and tools. Candidates should be able to demonstrate a strong ability to communicate ideas and results, and to work cross-functionally to execute complex projects.

Position requirements:

  • Ph.D. in Computer Science or related technical field, plus 3+ years software industry experience;
    OR M.S. in Computer Science or related technical field, plus 5+ years software industry experience
  • Experience with biological or chemoinformatic datasets and/or some background in biology or chemistry
  • Experience developing, implementing, and extending state-of-the-art ML algorithms, data infrastructure, and tools
  • Familiarity with current large-scale data processing frameworks, e.g. TensorFlow or PyTorch
  • Strong software engineering skills and substantial expertise in Python or C++
  • Track record of effective communication and collaboration in a cross-functional environment
  • Strong analytical and quantitative skills

Nice to haves:

  • Prior pharmaceutical industry experience
  • Public recognition in the field, e.g. via scientific publications or success in online competitions
  • Ph.D. / postdoc in Computer Science with specialization in machine learning or artificial intelligence

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