AI/ML – Machine Learning Researcher / Computational Neuroscientist, Machine Intelligence


Job Overview

Key Qualifications

  • PhD in Computational Neuroscience, Signal Processing, Computer Science or related fields
  • Demonstrated track record of building ML solutions for large scale time-series datasets.
  • Expertise in one or more of the following: signal processing, multimodal sensing, sensor fusion, time series, time-frequency analysis, and dynamical systems
  • Strong publication record demonstrating innovative research
  • Fluency in a high-level programming language (Python and/or Matlab)
  • Knowledge of common ML frameworks (scikit-learn, pandas and deep learning toolboxes such as TensorFlow, PyTorch, Caffe, etc)
  • Expected to perform well in a fast-paced environment, to execute on the tasks assigned, to meet the production deadlines and, at the same time, to explore independently new innovative ideas that can improve and transform the product experience of Apple customers
  • Be able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigor, innovation, and respect for user privacy
  • Great presentation and writing skills
  • Experience with clinical trials and with multimodal datasets is a plus
  • Description

    This is a multi-faceted scientific role that will require you to be versatile across a variety of tasks in a highly collaborative environment. You will research and develop innovative ML strategies for challenging problems that will affect future Apple products. You will collaborate with broader teams across Apple to transfer AI/ML solutions. You will have opportunities to provide technical mentorship and guidance, prepare technical reports for publication and conference talks. You have a strong research background and have made original contributions to both basic science and to the development of novel data analytical methods. You are an expert in navigating large and noisy data sets, embrace uncertainty, and have a strong foundation in machine learning and numerical computing. You are self-motivated, excellent problem solver, and a fast learner. You are quick to forge relationships and comfortable with change and ambiguity. You have strong programming skills with tried experience crafting, prototyping, and delivering advanced algorithmic solutions.

    Education & Experience

    PhD in Computational Neuroscience, Signal Processing, Computer Science or related fields

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