AI/ML Engineer: Advanced Tech & Defense Analytics

MIT Lincoln Laboratory

Lexington (MA)

On-site

USD 116,000 - 182,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive health, dental, and view
MIT‑funded pension
Matching 401K
Paid leave including vacation and sick
Tuition reimbursement and continuing-

Job summary

MIT Lincoln Laboratory’s Advanced Concepts and Technologies Group (Group 39) seeks an Associate Staff to develop and apply AI, modeling, and data-analysis methods for technology development and assessment. Our team collaborates with government sponsors to understand problems, develop capabilities, and quantitatively evaluate emerging technologies and concepts.

The successful candidate will contribute across problem formulation, algorithm and software development, modeling, experimentation, and

Qualifications

  • Master’s degree in a technical field or a bachelor’s with 2–3 years of relevant experience.
  • Demonstrated programming ability in Julia, Python, or similar.
  • Experience in AI/ML, including deep learning, LLMs, logic models, or reinforcement learning.
  • Ability to formulate and solve complex, open‑ended technical problems and independently develop software or models.
  • Applied statistics, experimental design, and quantitative methods experience.
  • Experience analyzing complex, unstructured datasets and extracting insights.
  • Strong written and oral technical communication skills.
  • Ability to work independently and collaborate with multidisciplinary teams.
  • Ability to rapidly develop expertise in new areas.

Responsibilities

  • Develop and apply AI, modeling, or analysis capabilities for technology development.
  • Collaborate with sponsors and experts to translate questions into quantitative analyses and criteria.
  • Develop and evaluate AI/ML methods using deep learning, LLMs, logic models, or related techniques.
  • Create statistical, physics-based, and data‑driven models of systems and operations.
  • Design and conduct quantitative studies, analyze datasets, quantify uncertainty, and interpret results.
  • Develop software prototypes and contribute to architecture, testing, and documentation.
  • Own focused technical tasks and work with teams to select approaches.

Skills

Julia/Python
AI/ML knowledge
Data analysis
Open-ended problem solving
Communication skills

Education

Master’s degree in CS/Data Science/Math/Physics/Engineering
Bachelor’s + 2–3 years related experience

Tools

Julia
Python
PDDL/Logic modeling
GPU computing

Job description

MIT Lincoln Laboratory’s Advanced Concepts and Technologies Group (Group 39) seeks an Associate Staff to develop and apply AI, modeling, and data-analysis methods for technology development and assessment. Our team collaborates with government sponsors to understand problems, develop capabilities, and quantitatively evaluate emerging technologies and concepts.

The successful candidate will contribute across problem formulation, algorithm and software development, modeling, experimentation, and

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