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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** GitHub - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $285,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Computer Engineering, Machine Learning, Software Engineering, Large Language Models, Information Technology, Machine Learning Operations, Unsupervised Learning - **Published:** August 10, 2026 - **Apply:** https://www.dice.com/job-detail/6866b37d-a41c-4690-94ec-203ee4f8613f ## About the Role * 4+ years experience in machine learning, or related field + OR Bachelor's Degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or related field AND 2+ years experience in machine learning, or related field + OR Master's Degree in Machine Learning, Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or related field + OR equivalent experience., * Strong understanding of large language models - how they work - and hands-on experience applying them at scale, ideally for classification, agentic workflows, or agents. * Strong software engineering skills, including experience building with AI coding assistants. * Experience designing or evaluating agentic systems (tool-use loops, multi-step workflows, or LLM-as-judge evaluation). * Hands-on experience building and operating classification or detection systems at scale, including handling imbalanced data and precision/recall tradeoffs. * Experience in Trust and Safety, National Security or fighting spam, malware, fraud, and threat actor activity at scale. * Experience in responsible AI. * Experience in Safety-by-Design. * Experience with managing user data and privacy. * Solid understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and their practical implementation. ## Description * Design, build and deploy agentic solutions that leverage large language models to detect and prevent fraud, abuse, and security threats at scale - applying LLMs to problems such as content classification and multi-step agentic investigation. * Build well-engineered, production-grade systems that run reliably against high-volume event streams, making effective use of AI coding assistants to accelerate and improve your work. * Build and operate scalable ML systems on cloud platforms (such as Azure AI Foundry) for training, deploying, and serving models and agentic solutions in production. * Evaluate and improve existing models and agentic solutions using offline evaluations (including tool-use loops and LLM-as-judge evaluation), performance metrics, and feedback from operational deployments. * Identify vulnerabilities in products that lead to abuse, and provide consultation to product teams reviewing new features. * Collaborate closely with cross-functional teams including data scientists, software engineers, product managers and content moderators to integrate agentic solutions into production systems. * Document the systems you help build and support the technical growth of your peers. ## About GitHub GitHub is **_where people build software_**. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. **Tech Stack:** Ruby, Ruby on Rails **Industries:** Enterprise Software, Platform [Company profile](https://www.wearedevelopers.com/companies/3968-github) ### More Jobs at GitHub - [Senior Software Engineer,Billing](https://www.wearedevelopers.com/jobs/ext/1991843-senior-software-engineer-billing) - [Staff Developer Advocate, GitHub Security Lab](https://www.wearedevelopers.com/jobs/ext/1921051-staff-developer-advocate-github-security-lab) - [Cloud Foundations Team](https://www.wearedevelopers.com/jobs/ext/1483289-cloud-foundations-team) - [Principal Software Engineer, Identity](https://www.wearedevelopers.com/jobs/ext/1469181-principal-software-engineer-identity) - [Principal Software Engineer, Database Infrastructure](https://www.wearedevelopers.com/jobs/ext/1465908-principal-software-engineer-database-infrastructure) ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## 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) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Got AI ideas but no money? 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