> Markdown version of [/jobs/ext/1399791-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1399791-machine-learning-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). --- # Machine Learning Engineer - **Company:** The Johns Hopkins University Applied Physics Laboratory LLC - **Location:** Laurel, MD, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $245,000.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Cluster Analysis, Python (Programming Language), Machine Learning, Object Detection, Tensorflow, Sensor Fusion, Software Engineering, Data Streaming, Reinforcement Learning, High Performance Computing, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Git, Information Technology, Modeling and Simulation, Software Version Control - **Published:** July 23, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/85889520/1 ## About the Role Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems?, * Have a Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related field. * Have at least 2+ years of experience in machine learning and data science fields. * Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow. * Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, or optimization/control theory. * Have demonstrated experience in working with version control software like Git. * Have strong, effective communication skills both verbal and written. * Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you... * Have an MS in Mathematics, Physics, Engineering, Computer Science, or a related field. * Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of datasets. * Have proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems. * Have hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion. * Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal. * Are comfortable working in high performance computing environments (GPU/CPU clusters). * Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI. * Have a track record of writing deployable, production-level code (Python, C/C++) for real-world applications. ## Description * Design, implement, and evaluate advanced machine learning algorithms to solve challenging real-world planning, perception, coordination, and control problems in support of national defense. * Develop software pipelines to integrate data streams, simulation environments, and intelligent decision-making algorithms. * Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools. * Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. * Engage directly with sponsors to communicate proposed concepts, solutions, and analysis. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [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) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## 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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)