Company Description
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.
Job Summary
At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That’s why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers’ most pressing challenges.
Red Hat’s Global Engineering team is looking for an experienced Machine Learning Engineer to join the Agentic and AI Engineering Tools team. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for the investigation, evaluation, integration, and development of open source AI/ML systems and functionality to improve the overall development and operations of both Red Hat’s downstream AI products and upstream open source AI projects.
The ideal candidate will have a proven background in delivering enterprise level AI/ML solutions. As part of your responsibilities, you will regularly participate in design reviews, contribute to the productization of major features, and support bug fixes.
This hybrid position reports directly to the Manager of Software Engineering. You must have the ability to partner collaboratively in our Waterford, Ireland office at least 3 days per week.

What you will do:

• Prepare structured and unstructured data for analysis, including handling missing values and outliers.
• Design and train ML models using established frameworks and architectures.
• Assist with building and integrating model serving solutions to accommodate a variety of model architectures and accelerators.
• Partner with Data Scientists, ML Engineers, Software Engineers, and Product Management to identify and incorporate customer needs and goals.
• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

What you will bring:

• 3+ years of experience as a Machine Learning Engineer or similar role.
• Experience in ML and AI, or other deep learning-related independent project work with evidence of completion.
• Experience with data ingestion or processing tools and frameworks, such as Docling, Spark, Pandas, Feast, Airflow, NumPy.
• Experience with retrieval augmented generation approaches, including vector databases and dense retrieval methods.
• Knowledgeable in various synthetic data generation approaches, such as GANs, VAEs, or rule-based systems.
• Experience writing unit tests for ML models and associated components.
• Knowledgeable with Jupyter notebooks and Python development.
• Experience cleaning and preparing structured datasets for training and analysis.
• Experience creating basic features to enhance data utility for machine learning models.
• Knowledgeable in using predefined metrics to assess model accuracy and identify improvements.
• Experience contributing to the deployment of machine learning models into test environments.
• Experience documenting processes and maintaining records of datasets and models used.
• Knowledgeable in understanding and implementing concepts outlined in research papers.
• Ability to quickly learn and use new tools and technologies.

Nice to Haves:

• Experience working with Kubernetes/OpenShift and containers.
• Experience with AI and Machine Learning platforms, tools, and frameworks, such as PyTorch, LLaMA.cpp, vLLM, and Kubeflow.
• Experience with writing and publication of research papers.
• Understanding of DevOps methodology, Scrum, and/orJira.
• Bachelor’s degree or higher in Machine Learning (ML), Natural Language Processing (NLP) or related discipline, or equivalent years of experience.

LI-PM1

• Prepare structured and unstructured data for analysis, including handling missing values and outliers.
• Design and train ML models using established frameworks and architectures.
• Assist with building and integrating model serving solutions to accommodate a variety of model architectures and accelerators.
• Partner with Data Scientists, ML Engineers, Software Engineers, and Product Management to identify and incorporate customer needs and goals.
• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling