AI/ML Engineer for Multidisciplinary Engineering Design-Associate Staff
MIT Lincoln Laboratory | |
tuition reimbursement, 401(k)
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United States, Massachusetts, Lexington | |
244 Wood Street (Show on map) | |
Apr 29, 2026 | |
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AI/ML Engineer for Multidisciplinary Engineering Design-Associate Staff
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Date: Apr 29, 2026 Location: Company: The Structural & Thermal-Fluids Engineering Group provides innovative multidisciplinary engineering solutions for underwater, ground, air, and space-based prototype systems for national security applications. Examples include the development of structural-material systems for space-based imaging and laser communication terminals, thermal management solutions spanning cryogenic to hypersonic applications, and aerodynamic designs and assessments to support unmanned aerial vehicles, airborne pods, and hypersonic platforms. Engineering solutions are developed through the utilization of appropriate technologies coupled with high-fidelity models and multidisciplinary simulations, environmental testing, and the utilization of advanced materials to meet ever increasing performance, size, weight, and environmental challenges. Position Description
Group 74 is seeking engineers with a combination of artificial intelligence / machine learning (AI/ML) algorithm development and engineering modeling expertise, e.g., fluid, structural, or thermal modeling. Our engineers support a broad range of simulation, design, optimization, and test activities, and we develop innovative simulation capabilities to solve challenging engineering design problems across a broad array of applications ranging from low-speed aircraft to hypersonic systems and satellite design. The Group employs machine learning methods within its modeling suite to achieve significant improvements in physics-based simulation, such as for aerodynamic analysis, to accelerate conceptual design. We seek engineers who are excited to contribute to these efforts by enhancing existing methods and implementing new cutting-edge AI/ML techniques to enable rapid and accurate concept design for a diverse set of complex and multidisciplinary problems. This position offers opportunities to contribute to cutting-edge research, collaborate with leading experts, and develop innovative solutions to complex engineering challenges. The successful candidate will be part of an interdisciplinary engineering team contributing to the development of operational prototype hardware, spanning the full program life cycle from concept development to fielding and testing. The position may require special security clearances and travel to meetings and field sites. Minimum Qualifications
Preferred Qualifications
Recent Graduate Hiring Range: $116,400 - $140,000 Experienced Hiring Range: $116,400 - $182,200 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 page for 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: 42958
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Engineering
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tuition reimbursement, 401(k)
Apr 29, 2026