As a Senior Machine Learning Engineer, you'll be a key member of a distributed team, driving the development and implementation of cutting-edge AI systems. You will be a recognized expert and go-to person for our team, focused on extending the AI/ML capabilities for Open Stack and integrating with Light Speed, Red Hat's AI/ML interface. This role is for a hands-on engineer who not only designs and implements but also proactively generates the backlog and drives solutions to complex customer problems within a Scrum team.

The ideal candidate will be a highly collaborative individual with a passion for working on complex ML projects in an open organization where contributions are valued and expected from all levels. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members, stakeholders, and Red Hat leadership is critical. Success in this role would be delivering robust, scalable training libraries that bridge cutting-edge research with production needs.

What You'll Do:

• Own and Deliver Technical Solutions: Act as an expert and owner of a specific technical area, making direct, impactful contributions to our business goals. You'll have a deep understanding of your subsystem, how it interacts with other technologies, and how it serves the broader project.
• Design and Architect Cloud AI Tools: You will design, implement, and operate AI-related software at the subsystem level, with a strong focus on cloud architecture. You'll contribute to the upstream open-source community, ensuring our work benefits a wider audience.
• Innovate and Proactively Contribute: Go beyond the backlog by generating new ideas and designing solutions to customer problems. Your work will include impactful, concrete innovations that address unmet customer needs and reduce costs. You'll keep your skills up-to-date with industry developments and apply that knowledge directly to our products.
• Lead Features from Ideation to Delivery: You will collaborate on and often lead the design of major features, acting as a subsystem owner and maintainer. This includes triaging issues, coordinating resolutions, and providing accurate estimates and comprehensive contributions from ideation through validation.
• Mentor and Empower the Team: Actively seek opportunities to mentor peers, interns, and junior engineers on the team. You'll help them improve their skills and understanding of technologies and processes, empowering them to become independent and active members of the team.
• Collaborate Across the Organization: Work with product management, other teams, and the upstream community to confirm cross-product requirements are met. You'll be proactive in identifying potential interaction issues and will engage with customers and stakeholders to ensure our work provides the highest possible value.

What We're Looking For:

• 5 years of experience in software engineering, with a significant focus on developing AI/ML tools and architecture in cloud environments.
• Proven track record of designing, implementing, and delivering complex AI/ML projects with direct business impact.
• Deep expertise in the modern AI stack, with hands-on experience
• Retrieval-Augmented Generation (RAG) - Multi-Agent Systems
• Model Context Protocol (MCP) and optimization techniques
• AI/ML model evaluation and fine-tuning
• Strong programming skills in languages like Python, and experience with AI/ML frameworks (e.g., Py Torch, Tensor Flow, etc.).
• Demonstrated experience with open-source development and a strong understanding of its collaborative principles.
• Experience with Open Stack or similar cloud infrastructure platforms is highly desirable.
• Excellent communication skills, with a proven ability to lead discussions, present ideas, and collaborate with multiple teams.
• A passion for mentoring and sharing knowledge, as well as a commitment to best practices in software development.​

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)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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