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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Programmer - **Company:** MIT Lincoln Laboratory - **Location:** Lexington, MA, United States - **Experience:** Experienced - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Computer Vision, Code Review, Cyber Security, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, SciPy, Pytorch, Large Language Models, Deep Learning, Git, Pandas, Information Technology, Low Latency - **Published:** July 31, 2026 - **Apply:** https://www.juju.com/job/00000000gkkarz ## About the Role Candidates who possess an M.S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of relevant experience will be considered. Desired Skills: + Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience. + Advanced AI/ML knowledge - solid graduate-level coursework or equivalent work experience in machine-learning theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance techniques. Ability to read, evaluate, and implement state-of-the-art research papers. + Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level use of deep-learning frameworks (PyTorch, TensorFlow, etc.), data-science stacks (NumPy, pandas, SciPy, etc.), and hands-on experience with agentic/LLM-oriented toolkits (e.g., MCP). + Operating in a rapid research-to-prototype pipeline - demonstrated ability to take a cutting-edge research concept, design an experimental plan, implement a functional prototype, and iterate based on quantitative evaluation. Experience with benchmark datasets and realistic metrics (e.g. latency, accuracy, robustness) is a plus. + 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. + Problem-solving & analytical mindset - can decompose novel, ill-defined problems, propose multiple solution paths, and select the most promising approach based on empirical evidence. + Detail-oriented, able to multi-task, with the ability to work autonomously with minimal supervision. + Effective written and oral communication skills in technical environments, technical reports, internal wiki pages; delivers clear demo presentations and briefings to both technical audience and senior mission stakeholders. + Current TS/SCI clearance or willingness to obtain one. ## 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! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [The AI Security Survival Guide: Practical Advice for Stressed-Out Developers](https://www.wearedevelopers.com/videos/1015-the-ai-security-survival-guide-practical-advice-for-stressed-out-developers) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Prompt Injection, Poisoning & More: The Dark Side of LLMs](https://www.wearedevelopers.com/videos/1563-prompt-injection-poisoning-more-the-dark-side-of-llms) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 196: AI Killed DevOps, LLM Political Bias & AI Security](https://www.wearedevelopers.com/magazine/659-dev-digest-196-ai-killed-devops-llm-political-bias-ai-security) - [Got AI ideas but no money? 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