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Machine Learning Engineer/Senior Machine Learning Engineer

Who we are:
Calico is a research and development company whose mission is to harness advanced technologies to increase our understanding of the biology that controls lifespan. We will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Executing on this mission will require an unprecedented level of interdisciplinary effort and a long-term focus for which funding is already in place.

Position description:

Calico is seeking a machine learning (ML) engineer or senior machine learning 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 support research efforts at Calico, develop novel ML algorithms to solve challenging research questions and play a critical role in defining and executing Calico’s development strategy in computational biology and machine learning. Candidates should be comfortable dealing with new 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 work cross-functionally to execute complex projects.

Position requirements:

  • Strong background working with machine learning methods and experience in implementing and extending ML algorithms independently
  • Experience developing data infrastructure and tools and familiarity with current large-scale data processing technologies
  • Strong software engineering skills and substantial expertise in one of Python, R, C/C++, or Java
  • Track record of effective collaboration in a cross-functional environment
  • Strong analytical and quantitative skills
  • Some knowledge of biology and/or experience in processing biological data is preferred but not required  
  • BS/MS in Computer Science or related technical field, or equivalent practical experience

 

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