> Markdown version of [/jobs/ext/2253950-ai-ml-software-engineer](https://www.wearedevelopers.com/jobs/ext/2253950-ai-ml-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Software Engineer - **Company:** Parsons Corporation - **Location:** Aberdeen, MD, United States - **Experience:** Experienced - **Salary:** $103,500.0 - $181,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Linux, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Reinforcement Learning, Software Organization, Cloud Platform System, Pytorch, Multi-Agent Systems, Virtual Environment, Deep Learning, Git, Pandas, Information Technology, Codebase, Docker - **Published:** August 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9119248/aiml-software-engineer ## About the Role * Required: B.S. in Computer Science or Engineering and 5+ years of post-degree machine learning experience, or M.S. in Computer Science or Engineering and 2+ years of experience, or Ph.D. in relevant field * High proficiency in Python with a strong background in writing modular, testable, and maintainable codebases * Framework fluency with data science tools and libraries (NumPy, Pandas, etc) and at least one deep learning framework (PyTorch or TensorFlow) * Familiarity with virtual environment tools such as Conda/uv/Poetry, or Docker containerization * Experience with Git and software development best practices, and working within Linux systems * The ability to work both individually and in a multi-team development project * Communicate methods and findings through publication manuscripts * U.S. Citizenship is required * Must be able to obtain and maintain a security clearance Preferred Skills: * Experience with reinforcement learning or multi-agent systems * Experience running experiments on HPC or cloud systems, and tracking results for later analysis between machines (Trackio / Weights & Biases / Tensorboard with neat file management) ## Description Parsons is searching for a professional to support development, integration, testing, and ongoing execution of in-house machine learning research on multi-agent reinforcement learning. What You'll Be Doing : * This work will include conducting experiments on the effectiveness, efficiency, and scalability of deployed machine learning (ML) solutions. * Formulating and testing hypotheses via implementing compute-efficient AI/ML training methods, applying statistics, and performing data analysis ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [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) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [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) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)