Artificial Intelligence Research Scientist
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.
AI RESEARCH SCIENTIST, MIT Quest for Intelligence, to help design and develop new algorithms and software as part of MIT Quest. Will be responsible for developing algorithms, designing and implementing software, and integrating algorithms from research and education groups on campus and the world at large to support research and education on campus; leading research into data management tools and machine learning algorithms and collaborating on the overall system design and implementation of individual system components; and developing, testing, and maintaining an AI platform. Will balance between performing independent tasks and working with campus research and education organizations to use AI technologies to solve research problems on campus and improve the educational experience.
The position will eventually grow into interacting with off-campus endeavors.
REQUIRED: S.M. or higher in computer science, machine learning, or related engineering field; four-plus years’ Python programming experience; experience with machine learning software development and engineering practices, including experience with TensorFlow and Torch; experience with software development practices, including git-based version control; ability to work effectively and productively in a highly variable, dynamic, and unstructured environment; demonstrated ability to independently design, launch, and deliver machine learning projects on time and within budget; strong project- and time-management, analytical, problem-solving, organizational, decision-making, presentation, and verbal and written communication skills; ability to communicate collaboratively at the highest technical levels; and meticulous attention to detail. PREFERRED: experience with GPU programming (including both OpenCL and CUDA), continuous delivery and integration, applying machine learning to at least two data types (e.g., text, video, audio, time series, etc.), and developing and deploying machine learning applications using a major cloud service provider.
Must be able to attend evening and/or weekend meetings/events and travel domestically up to one week per quarter when necessary.
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