Principal Machine Learning Engineer

Job Summary:

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI (RHOAI) team is looking for a Machine Learning Engineer with experience in building, scaling, and monitoring AI/ML systems to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to shape the observability and reliability of GenAI workloads, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.

As a core ML engineer for one of our OpenShift AI teams, you will have the opportunity to design and build systems that monitor, validate, and improve AI model performance in production. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other ML engineers, software developers, and cross-functional teams. You should have a passion for observability, MLOps, and building robust systems for real-world AI.

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.

What you will do

• Architect and lead implementation of new features and solutions for RHOAI, focusing on observability, insights, and optimizations for large-scale GenAI workloads running on Kubernetes
• Innovate in the MLOps domain by participating in leading upstream communities such as llm-d
• Provide technical vision and leadership on critical and high impact projects
• Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
• 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.
• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
• Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices
• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
• Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
• Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI
• Mentor, influence, and coach a distributed team of engineers

What you will bring

• Advanced experience in machine learning engineering, with a focus on production-grade systems
• Advanced experience in Kubernetes, OpenShift or other cloud-native technologies
• Ability to quickly learn and guide others on using new tools and technologies
• Experience with source code management tools such as Git
• Proven ability to innovate and a passion for staying at the forefront of technology.
• Excellent system understanding and troubleshooting capabilities
• Autonomous work ethic, thriving in a dynamic, fast-paced environment.
• Technical leadership acumen in a global team environment
• Excellent written and verbal communication skills

The following will be considered a plus:

• Master's degree or higher in computer science, machine learning, or related discipline
• Understanding of how Open Source and Free Software communities work
• Experience with development for public cloud services (AWS, GCE, Azure)
• Experience working with or deploying MLOps platforms
• Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.

About Red Hat

Red Hat

is the world's leading provider of enterprise

open source

software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

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