AI/ML Engineer - Assistant Staff

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health plans (medical, dental, vision)

MIT-funded pension

Matching 401K

Paid leave (vacation, sick, parental,等

Tuition reimbursement and continuing-

Job summary

MIT Lincoln Laboratory's Advanced Concepts and Technologies Group in Lexington, MA seeks an Assistant Staff to develop and apply AI, modeling, and data-analysis methods for technology development and assessment. You will join a mission-focused team that collaborates with government sponsors to translate questions into software capabilities, models, experiments, and quantitative assessments.

You will work on deep learning, large language models, physics-based modeling, and data-driven analyses,

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Physics, Engineering, Operations Research, or a related technical field.
• Demonstrated programming ability in Julia, Python, or a similar language.
• Coursework, research, internship, or project experience in AI, ML, or computational decision modeling.
• Experience developing software, models, algorithms, or analytical capabilities.
• Basic knowledge of applied statistics and quantitative methods.
• Experience with structured, poorly structured, or unstructured datasets.
• Strong written and oral technical communication skills, including clear explanations of concepts.
• Ability to work independently and in a collaborative, multidisciplinary team.
• Ability to rapidly learn new technical and mission areas.

Responsibilities

• Develop and apply AI, modeling, or analysis capabilities for technology development and assessment.
• Translate operational and technical questions into quantitative analyses, models, and evaluation approaches.
• Develop and evaluate AI/ML methods using deep learning, LLMs, logic models, reinforcement learning.
• Develop and integrate statistical, physics-based, and data-driven models of complex systems and operations.
• Conduct quantitative studies and experiments, analyze datasets, and extract meaningful insights.
• Develop software prototypes and analysis tools; contribute to testing, verification, and code review.
• Collaborate with multidisciplinary teams and rapidly learn new mission areas.
• Communicate technical methods, assumptions, limitations, and results clearly in documentation and briefings.

Skills

Python

Julia

AI/ML

Data analysis

Modeling

Education

Bachelors degree in Computer Science or related field

Tools

Git

Linux

CUDA

Job description

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The Advanced Concepts & Technologies Group (Group 39) is looking for exceptional engineers, scientists, and mathematicians who are excited to solve challenging problems. To improve operational effectiveness in rapidly evolving, complex threat environments, Group 39 conducts cutting-edge research and development in systems and architecture analysis; modeling and simulation; software and hardware prototyping and fielding; artificial intelligence; and signal processing. The group’s multidisciplinary team includes scientists and engineers with backgrounds in physics, mathematics, computer science, and engineering. Group 39 values inclusiveness, fosters mentoring at all levels, and promotes critical and innovative thinking to address the needs of the nation. The successful candidate will join a highly collaborative team that supports professional growth and is dedicated to solving important national security challenges.

Job Description

The Advanced Concepts and Technologies Group is seeking an Assistant Staff candidate to develop and apply artificial intelligence, modeling, and data-analysis methods for technology development and assessment. Our team works with government sponsors to understand complex operational and technical problems, develop new capabilities, and quantitatively evaluate emerging technologies and concepts.

The successful candidate will contribute to efforts spanning algorithm and software development, modeling, experimentation, and analysis. Working with experienced technical staff, mission subject-matter experts, scientists, and engineers, the candidate will help translate technical and operational questions into software capabilities, models, experiments, and quantitative assessments. Work may involve deep learning, large language models, logic models, reinforcement learning, applied statistics, physics-based modeling, and analysis of complex structured and unstructured datasets. Depending on the problem, these methods may be applied through simulation, interactive environments, experimental prototypes, or other analysis tools.

Responsibilities Include but Are Not Limited to

• Develop and apply AI, modeling, or analysis capabilities for technology development and assessment.


• Work with technical staff and subject-matter experts to translate operational and technical questions into quantitative analyses, models, and evaluation approaches.


• Develop and evaluate AI/ML methods using deep learning, large language models, logic models, reinforcement learning, or related techniques.


• Develop and integrate statistical, physics-based, and data-driven models of complex systems and operations.


• Conduct quantitative studies and experiments, analyze complex structured and unstructured datasets, and extract meaningful technical and operational insights.


• Develop software prototypes and analysis tools and contribute to testing, verification, validation, documentation, version control, and code review.


• Collaborate with multidisciplinary teams and rapidly learn new technical and mission areas.


• Communicate technical methods, assumptions, limitations, and results through clear documentation, demonstrations, and briefings.

Requirements

Education / Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Physics, Engineering, Operations Research, or a related technical field.


• Demonstrated programming ability in Julia, Python, or a similar scientific programming language.


• Coursework, research, internship, or project experience in artificial intelligence, machine learning, or computational decision modeling, including practical experience in at least one of the following areas: deep learning, large language models, logic models, or reinforcement learning.


• Demonstrated problem-solving ability and experience developing software, models, algorithms, or analytical capabilities.


• Basic knowledge of applied statistics and quantitative methods, including experience interpreting analytical results.


• Experience working with structured, poorly structured, or unstructured datasets.


• Strong written and oral technical communication skills, including the ability to clearly explain technical concepts, methods, and results.


• Ability to work effectively both independently with direction and as part of a collaborative, multidisciplinary team.


• Ability to rapidly learn new technical and mission areas.

Desired Qualifications

• Software engineering experience, including modular software design, automated testing, version control, code review, and technical documentation.


• Experience applying AI/ML, modeling, or data analysis to technology development, system assessment, or decision support.


• Experience with formal or logic-based modeling approaches, such as PDDL, signal temporal logic, automated planning, rule-based systems, or related methods.


• Experience developing visualizations, user interfaces, or interactive tools for complex technical systems, including simulations, analytical applications, or serious games.


• Familiarity with Department of War missions, operations, systems, or technologies.


• Background in physics-based modeling, particularly radar systems, sensor performance, detection, tracking, or radio-frequency propagation.


• Experience with Monte Carlo simulation, experimental design, uncertainty quantification, and/or sensitivity analysis.


• Experience with agent-based models, decision-support tools, human-machine teaming, or autonomous decision-making systems.


• Experience with high-performance, parallel, distributed, or GPU computing.


• Experience working on collaborative research or software development projects.

Communication Skills
Recent Graduate Hiring Range: $100,200 - $120,000
Experienced Hiring Range: $100,200 - $150,000

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:

• 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

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.