AI/ML – Research Scientist, Health AI


Job Overview

Key Qualifications

  • Expertise in developing new machine learning algorithms and tools
  • Demonstrated contributions in one or more of the following fields related to machine learning: fairness, privacy, deep learning, transformers and attention models, architecture search, NLP, optimization, reinforcement learning, and related topics
  • Demonstrated, via publications or products, interest in applying machine learning methods to health related problems and data
  • Ability to distill vague product experiences into concrete problem definitions
  • A demonstrated passion for making methods robust, fair, private, efficient, and scalable
  • Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience
  • Experience using Python, C/C++, or other programming language for machine learning
  • Proficiency developing large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch)
  • Being able to provide 3-5 strong recommendation letters
  • Description

    Your responsibilities include:Researching, developing, and implementing the most innovative machine learning, artificial intelligence, statistics, computer vision, and NLP techniques applied to unique health data and problemsActively engaging with the academic community by publishing papers and presenting your workTransferring machine learning solutions to data scientists and engineers on product teamsProviding technical guidance to product teams on the machine learning approaches appropriate for a task

    Education & Experience

    A PhD in machine learning (CS, ECE, Stats, Math, or related fields)

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