Senior Machine Learning Scientist at top Data Science/ML healthtech

Location: Boston, MA
Date Posted: 05-07-2018
This revolutionary team is using machine learning to transform healthcare. They have access to millions of medical records, an on-prem GPU cluster, and a top-tier team from industry and academia. 

The focus of the ML science team is to build models to solve critical needs in healthcare.
  • Classification to expedite treatment decisions, prioritize worklists, and improve accuracy
  • Segmentation and localization to improve the accuracy and speed of abnormality detection
  • Volumetric assessment of pathologies, reducing clinician time per study thereby freeing them to focus on higher-value tasks
  • Time series analysis to predict outcomes based on streaming patient data
Required skills
  • Fluent in Python
  • Highly comfortable in one of Tensorflow, PyTorch, or Caffe2
  • Highly comfortable in the theory and practice of neural networks
    • Capable of debugging faulty network architectures
    • Experience distributing training across many GPUs
  • Highly comfortable in traditional machine learning algorithms (e.g., SVM, boosting, bagging, etc.)
  • Highly comfortable in SQL
  • Comfortable working independently and defining measurable, achievable goals
  • Experience shipping ML solutions in product
Nice to have
  • Publications at top-tier ML conferences (NIPS, ICML, ICLR, etc.)
  • Experience writing production-grade software (code review, unit testing, integration testing, CI, etc.)
  • Experience programming in C/C++/Java/Go
or
this job portal is powered by CATS