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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