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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AL/ML Programmer - **Company:** MIT Lincoln Laboratory - **Location:** Fort Meade, MD, United States - **Experience:** Expert - **Salary:** $145,200.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Cyber Security, Continuous Integration, Systems Analysis, Python (Programming Language), Machine Learning, NumPy, Tensorflow, SciPy, Pytorch, Large Language Models, Deep Learning, Git, Pandas, Scikit Learn, Information Technology, HuggingFace, Virtual Agents - **Published:** June 12, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8972020/alml-programmer ## About the Role Candidates must possess a Ph.D in electrical engineering, computer science, or another relevant discipline or a MS with 5 or more years of relevant experience or a BS and 9 or more years of relevant expereince will be considered. * Current TS/SCI clearance required (must be active at the time of application)., * Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience. * Deep AI/ML experience - graduate-level (or professional) knowledge of state-of-the-art machine-learning, deep-learning, LLM/agentic AI, multimodal perception, graph analytics, adversarial/AI-assurance, or cyber-ML; ability to read, critique, and extend advanced research papers. * System analysis & problem decomposition - can translate high-level end-state requirements into a clear set of research tasks, define quantitative success metrics and measures, and produce a task-breakdown structure that aligns with program/project milestones. Adept at formulating hypothesis, designing controlled experiments, and drawing data-driven conclusions on novel problems. * Operate within a rapid research-to-prototype pipeline - demonstrable ability to turn novel algorithms and approaches into robust, reproduceable prototypes in tight timescales, around iterative refinement. * Agentic-AI framework experience - hands-on work with MCP or comparable toolkits; able to design, implement, and evaluate end-to-end LLM-driven agents. * Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas/SciPy, etc.). * Software-engineering best practices - strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases. * Team and Project leadership - experience leading small research teams, assigning tasks, tracking progress, removing technical blockers, and mentoring junior staff. * Stakeholder communication - strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners. * Detail-oriented, able to multi-task, with the ability to work autonomously, set technical direction, and operate with minimal supervision., Selected candidate will be subject to a pre-employment background investigation and must possess a current in scope Top Secret level security clearance. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! 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