Machine Learning Scientist

San Francisco Bay Area

The position listed above is no longer available.

Machine Learning Scientist

San Francisco Bay Area

As one of the first employees at Unlearn, you will have the opportunity to shape the future of machine learning and its application to clinical science. You’ll work closely with some of the top computational scientists in the world and leverage our unique machine learning technology to simulate patients.

Day-to-day work will include:

  • Collaborating with internal and external scientists to simulate patients and improve drug development.
  • Building powerful and robust software libraries for model training and analysis.
  • Developing novel machine learning algorithms and contributing to experiments.
  • Applying machine learning to clinical science and regulatory statistics.
  • Co-authoring academic papers with your colleagues.

You are an entrepreneurial scientist who wants to build a new approach to clinical science with computation as its foundation.

You need to have:

  • A Ph.D. in {physics, mathematics, or computer science}, OR extensive, relevant industry experience.
  • Facility with development in Python.
  • Strong knowledge of software paradigms and style.
  • Expertise in machine learning methods from at least one major perspective among: statistical physics, computer science, statistical modeling.  For a relevant level for a physicist see our review, “A high-bias, low-variance introduction to ML for physicists”
  • The flexibility and adaptability necessary to be an early employee at an ambitious startup.
  • Ability to work in the San Francisco Bay Area office.

Unlearn offers competitive benefits and compensation commensurate with experience.

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We are committed to building a great company—and that means we’ll need a diverse team with a variety of backgrounds and skills. We strongly encourage applications from women and other groups that are underrepresented in the technology industry.

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