Machine Learning Specialist

Location
Massachusetts, United States
Posted
22 Oct 2018
End of advertisement period
22 Dec 2018
Ref
16623
Contract Type
Permanent
  • Job Number: 16623
  • Functional Area: Research - Other
  • Department: Brain & Cognitive Sciences
  • School Area: Science
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: No

MACHINE LEARNING SPECIALISTBrain and Cognitive Sciences (BCS), to help tackle challenging problems in machine learning and artificial intelligence.  Will join world-class neuroscientists in solving some of the world’s most exciting computational research problems and apply machine learning and data science skills to cutting edge research on the brain and mind.  Essential responsibilities will include helping researchers develop large-scale neural network models of perception and cognition; helping translate 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 storage and management of large data sets; and helping transition users to new computing tools.  

Job Requirements

REQUIRED:  an advanced degree (M.S.) in machine learning or computer science; at least two years of relevant experience; extensive experience with CUDA; ability to write new CUDA operations with PyTorch and TensorFlow; extensive experience with GPU optimization in PyTorch and TensorFlow; extensive experience with large scale artificial neural networks; experience with model parallelization; experience with parameter servers for hyperparameter search; and some knowledge of optimization theory. 

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.