SVP, Machine Learning

SVP, Machine Learning

  • Location

    San Francisco

  • Sector:

    AI & Machine Learning

  • Job type:


  • Contact:


  • Contact email:


  • Job ref:


  • Published:

    about 1 year ago

  • Expiry date:


  • Consultant:


My client is a Bio-Medical technology start-up backed by Google Ventures & Andreessen Horowitz with a substantial amount of funding. The organization was recently named to Forbes' inaugural AI 50 List and as well as being mentioned in numerous reputable publications including TechCrunch, Yahoo, Bloomberg, SF Business Times, and CNBC. They are currently looking for a SVP, Machine Learning to come in and take over the machine learning team in the Bay Area. More details can be provided on a candidate by candidate basis.


  • MS in Computer Science, Biomedical engineering, bioinformatics or related field (PhD preferred)
  • Proven track record of identifying talent and building machine learning teams (ideally in a start-up environment)
  • At least 5+ years of managing high performing ML teams 
  • 14+ years of relevant ML industry experience in one of these fields: Medical Imaging, Biotechnology, Genetics, or Pharmaceuticals 
  • Hands-on experience working with at least 4 of these frameworks: Keras, Tensorflow, PyTorch, Caffe, Apache Spark, Scikit-Learn, Theano, Numpy, MLlib
  • Patents and/or notable publications from journals or conferences
  • Passion for the medical industry