Software Engineer

REQUIRED: bachelor's degree in related field; at least two years' programming experience in Python and machine learning toolkits; experience with software development practices, including git-based version control and CI/CD; strong project-management, analytical, problem-solving, organizational, decision-making, and written and verbal English communication skills; ability to work effectively across all levels with faculty, staff, students, and other members of the MIT community in a highly dynamic hybrid environment. PREFERRED: experience in one or more of the following--computer vision, optimization, time-series forecasting, natural language understanding, data mining, and/or visualization; research experience developing and testing machine learning models, familiarity with one or more cloud platforms; and experience with virtualization and containerization. Job #23969

4/29/24

SOFTWARE ENGINEER, MIT Quest for Intelligence, Systems Engineering Team, to engage with interdisciplinary research groups across MIT to determine requirements, iterate on architectural specifications, and produce robust, scalable systems that meet identified needs in biological and artificial intelligence research. Past projects include a Monte Carlo-based COVID-19 risk model for the MIT campus, a simulated robotics environment, a platform for scoring computational models against brain benchmarks, and a web app for sharing research stimuli.

Responsibilities include programming, deploying, and maintaining software and infrastructure; producing clean, scalable code; participating in constructive peer code review; researching and developing technical specifications for new projects and features; identifying user requirements; engaging in planning and architecture discussions; writing thorough operational documentation; and debugging and testing code. The Quest imagines a world in which our understanding of natural intelligence is advanced by tightly coupled scientific inquiry and rigorous engineering to address real-world problems that are beyond current machine capabilities.