> Markdown version of [/jobs/ext/2369274-telecommute-machine-learning-engineer-graph-ml-code-intelligence](https://www.wearedevelopers.com/jobs/ext/2369274-telecommute-machine-learning-engineer-graph-ml-code-intelligence). 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). --- # TELECOMMUTE Machine Learning Engineer - Graph ML & Code Intelligence - **Company:** Infrared Laboratories Incorporated - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Big Data, C++ (Programming Language), Nvidia CUDA, Distributed Computing Environment, Graph Theory, Performance Tuning, Large Language Models, Containerization - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/587494c0-f874-4be9-b9ce-f305fe988036 ## About the Role · 8+ years delivering production ML; 5+ years leading large-scale graph learning in production (100M-B+ edges). · Deep mastery of GNNs/geometric DL, graph theory, and practical graph querying. · Proven impact combining graphs with LLM/NLP (e.g., KG-augmented retrieval, entity linking, grounding). · Experience deriving graphs from complex sources (such as code/IR) for analysis, optimization, or security use cases. · Strong systems chops: C++/CUDA or equivalent; fluency in GPU/distributed training and performance tuning. · Track record building reliable pipelines and operating large data/feature stores for graph workloads. · Operational excellence in orchestration, containerization, observability, drift detection, and automated retraining. · Clear, persuasive technical leadership and mentoring across both technical and non-technical stakeholders. · Our job descriptions often reflect our ideal candidate. If you have a strong foundation of relevant skills and a passion for this field, we encourage you to apply, even if you don''t check every box. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Graph Neural Networks: What’s behind the Hype?](https://www.wearedevelopers.com/videos/474-graph-neural-networks-what-s-behind-the-hype) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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)