Machine Learning Developer
 MIT Lincoln Laboratory | |
tuition reimbursement, 401(k)
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 United States, Massachusetts, Lexington | |
| 244 Wood Street (Show on map) | |
 Sep 08, 2026 | |
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Machine Learning Developer
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Date: Sep 8, 2026 Location: Company: The Transportation Safety and Resilience Group develops integrated sensing and decision support systems that enable a safe and resilient global transportation system. We specialize in systems analysis, prototyping, system architectures, and algorithm development to support supply chain resilience, improving safety in the current airspace and the introduction of new and more autonomous vehicles into the existing transportation system. A current focus area of our work is the safe and efficient introduction of Advanced Air Mobility vehicles and other new entrants into the National Airspace System. The systems we work on help prevent aircraft accidents in the existing airspace and are extensible to a more autonomous future airspace. We are also focused on improving the resilience and effectiveness of the Department of War supply chain. With technical expertise in real-time software architecture, systems analysis, advanced supercomputing-enabled modeling and simulation, machine learning, and system integration, our research teams take new ideas for solving problems and develop them into working prototypes. We are currently working on detect-and-avoid systems for both crewed and uncrewed aircraft systems, safety systems to prevent runway incursions, and decision support systems. Job Description
We are looking for applicants with an interest and background in applied engineering, modeling and simulation and machine learning to develop algorithms and systems for autonomous and semi-autonomous vehicles. Additionally, we are looking for applicants to develop new advanced decision support systems as well as architectures and techniques for advancing and deploying semi-autonomous systems in the broader transportation domain. Example problem areas include algorithm development for collision avoidance logic, real-time contingency management, inter-vehicle coordination, and validation of decision support, surveillance, and tracking systems. Successful candidates will develop the skills to analyze the operational problems in detail and to develop deployable solutions, while extending our impact to other areas of the transportation domain. The candidate should be familiar with developing solutions using modern machine learning approaches such as reinforcement learning. Additional responsibilities include leading and developing applied research and development programs in the transportation domain, formulating new approaches to existing challenges and publishing results in conferences/journals. The Transportation Safety and Resilience Group supports a hybrid work environment. Requirements:
Desired qualifications:
Experience submitting research proposals Hiring Range: Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
Please visit our Benefits pagefor more information. As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks. 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. Requisition ID:43304
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