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MIT Lincoln Laboratory Machine Learning Algorithm Developer, Associate Staff in Lexington, Massachusetts

Group Description:

The Homeland Sensors and Analytics Group builds technology to counter threats to our critical infrastructure, land and maritime borders, transportation systems, and public places. We focus on the development and fielding of advanced sensors, AI and data analytics, and integrated human-machine decision making to help recognize and disrupt these threats. We specialize in collecting and processing a wide range of data types — including radar, video, imagery, text, point cloud, transactional, and body-worn sensor data — from both commercial and Laboratory-developed sensors. We often apply advanced machine learning methods to convert raw data into actionable insights about the activities of threat actors, networks, or organizations. Our ultimate goal is to field solutions that significantly enhance the decision-making process of analysts and operators who secure the homeland. Learn more at https://www.ll.mit.edu/r-d/homeland-protection/homeland-sensors-and-analytics.

Machine Learning Algorithm Developer

Associate Staff Job Description:

Our group is looking for motivated researchers and engineers who would like to address critical problems requiring machine learning as part of collaborative, interdisciplinary teams. Specifically, the candidate will aid in the design, implementation, and testing of machine learning algorithms relevant to Homeland Security and Defense applications. Knowledge of state-of-the-art machine learning techniques is considered important, as well as experience with the design and implementation of such methods on image, video, text, or other sensor data processing tasks. This position will provide the opportunity to learn about mission-relevant applications of AI, conduct independent research (including model design decisions and performance assessments), and discuss the results of that research within collaborative team settings.

Requirements:

  • Master of Science degree in computer science, mathematics, electrical engineering, information science, data science, or an equivalent field. In lieu of a Master’s degree, a Bachelor’s degree with at least three years of directly related research experience will be considered.

  • Prior exposure to machine learning algorithms, through coursework or research. This includes deep learning techniques in addition to more general machine learning methods (e.g., Bayesian inference).

  • Proficiency with Python.

  • Experience with common computer vision, natural language processing, or machine learning toolboxes (PyTorch, Pandas, OpenCV, TensorRT, libtorch, etc).

    Desired skills:

  • Experience with experimental design methods.

  • Familiarity with additional algorithm development environments/languages like Matlab or C++.

  • Experience with flexible deployment mechanisms such as containers is a plus, but not required.

For Benefits Information, click http://hrweb.mit.edu/benefits

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

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