Massachusetts Institute of Technology
Data Science Engineer
Massachusetts Institute of Technology, Cambridge, Massachusetts, us, 02140
Data Science Engineer
Job Number: 24490
Functional Area: Research - Scientific
Department: McGovern Institute for Brain Research
School Area: Office of Provost
Employment Type: Full-Time
Employment Category: Exempt
Visa Sponsorship Available: No
Schedule:
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Posting Description
DATA SCIENCE ENGINEER, McGovern Institute for Brain Research, to tackle challenging problems at the intersection of brain science and artificial intelligence. Will join world-class neuroscientists and cognitive scientists in applying machine learning, AI, and data science skills to cutting-edge research on the brain and mind; have opportunities for career development, and for a voice in the scientific directions that are explored; help researchers develop large-scale neural network models of perception and cognition; translate computational algorithms into parallelized and GPU-optimized code; stay up-to-date with machine learning developments; aid labs with the integration of machine learning into their research; and help transition users to new computing tools.
Job Requirements
REQUIRED: advanced degree (M.Sc./Ph.D.) in machine learning, computational neuroscience, or computer science; experience implementing 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 large-scale artificial neural networks across multiple GPUs; experience with large-scale neural network optimization techniques, including hyperparameter optimization; experience with high-performance cluster computing and/or cloud computing at scale; experience with software engineering and publishing, and building user-friendly interfaces; experience analyzing big data and high-speed I/O programming; familiarity with HDF5 or TFRecord; ability to optimize existing scientific computing code; willingness to work with domain scientists; commitment to and experience with open science practices; experience with data management tools that facilitate reproducible science. PREFERRED: background in neuroscience and cognitive science. Job #24490 This is a two year appointment with the potential to renew, pending funding.
Posted 10/3/2024 Revised 10/7/2024
Job Number: 24490
Functional Area: Research - Scientific
Department: McGovern Institute for Brain Research
School Area: Office of Provost
Employment Type: Full-Time
Employment Category: Exempt
Visa Sponsorship Available: No
Schedule:
Email a Friend Save Save Apply Now
Posting Description
DATA SCIENCE ENGINEER, McGovern Institute for Brain Research, to tackle challenging problems at the intersection of brain science and artificial intelligence. Will join world-class neuroscientists and cognitive scientists in applying machine learning, AI, and data science skills to cutting-edge research on the brain and mind; have opportunities for career development, and for a voice in the scientific directions that are explored; help researchers develop large-scale neural network models of perception and cognition; translate computational algorithms into parallelized and GPU-optimized code; stay up-to-date with machine learning developments; aid labs with the integration of machine learning into their research; and help transition users to new computing tools.
Job Requirements
REQUIRED: advanced degree (M.Sc./Ph.D.) in machine learning, computational neuroscience, or computer science; experience implementing 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 large-scale artificial neural networks across multiple GPUs; experience with large-scale neural network optimization techniques, including hyperparameter optimization; experience with high-performance cluster computing and/or cloud computing at scale; experience with software engineering and publishing, and building user-friendly interfaces; experience analyzing big data and high-speed I/O programming; familiarity with HDF5 or TFRecord; ability to optimize existing scientific computing code; willingness to work with domain scientists; commitment to and experience with open science practices; experience with data management tools that facilitate reproducible science. PREFERRED: background in neuroscience and cognitive science. Job #24490 This is a two year appointment with the potential to renew, pending funding.
Posted 10/3/2024 Revised 10/7/2024