Research Data Scientist

Company Details

Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting.

DATA SCIENCE ENGINEER, McGovern Institute for Brain Research (2 openings), to help tackle challenging problems at the intersection of brain science and artificial intelligence. Will join world-class neuroscientists and cognitive scientists in solving some of today’s most exciting computational research problems, and apply machine learning, AI, and data science skills to cutting-edge research on the brain and mind.  Responsibilities include helping researchers develop large-scale neural network models of perception and cognition; translating computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; staying up-to-date with cutting edge computational techniques, including machine learning developments and aiding labs with the integration of these techniques into their research projects; providing guidance for standardization, storage, and management of large data sets; and helping transition users to new computing tools. 

Job Requirements

REQUIRED:  advanced degree (M.Sc./Ph.D.) in machine learning or computer science; experience with implementation of efficient large-scale parallelization for data-processing algorithms; experience with GPU optimization in PyTorch and TensorFlow, including ability to write new GPU-based operations in both frameworks; experience training artificial neural networks architectures on large-scale data sets, including debugging learning problems and using multi-GPU data and model parallelization; experience with large-scale optimization techniques for neural networks, including hyperparameter optimization frameworks; experience with high-performance cluster computing and/or cloud computing at scale; experience with software engineering and recording of publishing software; familiarity with building user-friendly interfaces; experience analyzing big data and high-speed I/O programming; familiarity with HDF5 or TFRecord; ability to work closely with researchers to optimize existing scientific computing code; and willingness to work with and learn from domain scientists.

PREFERRED:  background in neuroscience and cognitive science.

Tagged as: pytorch, tensorflow, gpu optimization, i/o programming, hdf5, tfrecord

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