> Markdown version of [/jobs/ext/2037452-machine-learning-engineer-memory](https://www.wearedevelopers.com/jobs/ext/2037452-machine-learning-engineer-memory). 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, Memory - **Company:** Epic Games, Inc. - **Location:** Cary, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, NumPy, SciPy, Pytorch, Large Language Models, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations - **Published:** August 12, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/machine-learning-engineer-memory-cary-nc-usa-58915181 ## About the Role Experteer Overview In this role you design memory architectures for foundation models across modalities, working with researchers to enable long-horizon reasoning, memory selection, and efficient storage/retrieval. You will define metrics, develop production-ready learning models, and shape the roadmap based on model evaluation. You'll collaborate with cross-functional teams to advance memory-enabled AI across Epic's engine and games platform. This is an opportunity to influence how memory and context drive real-time interactive experiences. Compensation / Benefits * Design memory architectures that work across problems, modalities and products * Define new ways to measure and evaluate memory performance * Help create and deliver production-ready, scalable learning models and algorithms * Critically assess model effectiveness and contribute to the roadmap Tasks * PhD in Computer Science, Mathematics or related field or 3+ years of industry experience * Experience creating ML aaaaaaaal _ for vision and/or language and deploying them in production * Expert knowledge of foundational models and vision/language, including local deployment and post-training of open weights models * Experience with memory, state, or long-horizon behavior in foundation models * Proficiency in Python and ML tools/frameworks (numpy, scipy, sklearn, pytorch) * Experience collaborating with other developers in an agile environment Key requirements * 100% medical premiums for you and dependents * Dental and Vision * Long Term Disability * Life Insurance * 401k with competitive match * Mental health program (Modern Health) ## Description Experteer Overview In this role you design memory architectures for foundation models across modalities, working with researchers to enable long-horizon reasoning, memory selection, and efficient storage/retrieval. You will define metrics, develop production-ready learning models, and shape the roadmap based on model evaluation. You'll collaborate with cross-functional teams to advance memory-enabled AI across Epic's engine and games platform. This is an opportunity to influence how memory and context drive real-time interactive experiences. Compensation / Benefits * Design memory architectures that work across problems, modalities and products * Define new ways to measure and evaluate memory performance * Help create and deliver production-ready, scalable learning models and algorithms * Critically assess model effectiveness and contribute to the roadmap Tasks * PhD in Computer Science, Mathematics or related field or 3+ years of industry experience * Experience creating ML algorithms for vision and/or language and deploying them in production * Expert knowledge of foundational models and vision/language, including local deployment and post-training of open weights models * Experience with memory, state, or long-horizon behavior in foundation models * Proficiency in Python and ML tools/frameworks (numpy, scipy, sklearn, pytorch) * Experience collaborating with other developers in an agile environment Key requirements * 100% medical premiums for you and dependents * Dental and Vision * Long Term Disability * Life Insurance * 401k with competitive match * Mental health program (Modern Health) ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [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) - [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) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [Solving AI Amnesia: Building "Infinite Memory" for Agents without the RAM](https://www.wearedevelopers.com/videos/1961-solving-ai-amnesia-building-infinite-memory-for-agents-without-the-ram) ## Related Articles - [Introducing Redis Agent Memory Server](https://www.wearedevelopers.com/magazine/699-introducing-redis-agent-memory-server) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 118 - not a total recall](https://www.wearedevelopers.com/magazine/452-dev-digest-118-not-a-total-recall) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)