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Apple AI/ML - Research Scientist, Health AI in New York City, New York

AI/ML - Research Scientist, Health AI

New York City,New York,United States

Machine Learning and AI

  • 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


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 problems Actively engaging with the academic community by publishing papers and presenting your work Transferring machine learning solutions to data scientists and engineers on product teams Providing 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)

Additional Requirements

  • Preferred Qualifications:

  • 2+ years of research experience in academia or industry after the PhD (summer internships could be considered as experiences)

  • Publications in the leading machine learning, computer vision, NLP, and health venues.

  • Strong fundamentals in problem solving, algorithm design, and model building, including statistical analysis

  • Passion for creating new technologies with high product impact

  • Excellent verbal and written communication and presentation skills

  • Having recommendation letters both from Academia and industry

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