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MIT Lincoln Laboratory Associate Staff - Machine Learning / Data Engineering in Lexington, Massachusetts

Group Description:

The Integrated Missile Defense Technology Group develops resilient, integrated missile defense solutions through threat characterization, advanced technology development, prototyping, and testing. Our work is critical to the defense of the United States, deployed forces, and allies from missile attacks. This group performs detailed system and component engineering, flight and ground test analysis, and advanced capability and algorithm development in collaboration with the contractors and government program offices that are developing the missile defense elements and components.

Description:

The Integrated Missile Defense Technology Group is seeking a highly motivated individual to join in an outstanding and interdisciplinary team of mathematicians, scientists, and engineers in solving challenging and critically important missile defense problems through simulation, modeling, algorithm development, autonomy and machine learning, hardware prototyping, field testing and analysis.

The successful candidate will be able to work on a broad range of problems. Desired areas of expertise include any of the following: data science and engineering, artificial intelligence and machine learning, autonomy, algorithm development, prototyping, data infrastructure and analytics, modeling and simulation, and radar signal processing. Experience with a high-level programming language such as MATLAB, Python, Julia, etc. is required. Must have demonstrated proficiency in oral presentations and written reporting skills. Must have proven record of self ‐ motivation and ability to work well in a team environment.

You will work both independently and in an inclusive team environment alongside nationally ‐ recognized experts. At Lincoln Laboratory you will have access to a wide array of new technologies, laboratories, prototyping facilities, and research materials.

We offer mentorship at all levels, opportunities for advancement, diversity and inclusion programs, a comprehensive benefits package, numerous employee amenities, work ‐ life balance, schedule flexibility and remote working arrangements.

Requirements:

  • MS in Mathematics, Computer Science, Data Science, AI/ML, Electrical Engineering, Systems Engineering, Mechanical Engineering, Aero/Astro, or related field

  • In lieu of a MS, an BS/BA with 5+ years of directly related experience will be considered

  • Strong programming skills in at least one commonly used programming language (e.g., Python, MATLAB)

  • Strong mathematical skills demonstrated through classwork and/or peer-reviewed publications

  • Ability to communicate and work effectively with colleagues, sponsors, and other research organizations

    Desired Skills:

  • Data engineering

  • AI/ML

  • Algorithm development

  • Optimization

    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:

  • Comprehensive health, dental, and vision plans

  • MIT-funded pension

  • Matching 401K

  • Paid leave (including vacation, sick, parental, military, etc.)

  • Tuition reimbursement and continuing education programs

  • Mentorship programs

  • A range of work-life balance options

  • ... and much more!

    Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

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: [[id]]

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