Principal Machine Learning Engineer

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 team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience 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 build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, 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.

In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio.

We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams.

Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do

Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in

OpenShift AI

Work closely with the AI Innovation team to help deliver

LLM training

, continual learning and reinforcement learning techniques across our product portfolio

Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as

Kubeflow

Liaise with stakeholder groups and cross-functional teams to deliver new product features

Ensure non-functional requirements including security, resiliency, and maintainability are met

Use

CI / CD best practices

to deliver solutions as productization efforts into

OpenShift AI

Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts

Give thoughtful and prompt code reviews

Represent

OpenShift AI

in external engagements including industry events, customer meetings, and open source communities

Mentor, influence, and coach a distributed team of engineers

What you will bring

Advanced experience in

Python and Go

Advanced experience developing applications in

Kubernetes, OpenShift,

or other

cloud-native technologies

Ability to quickly learn, adapt and guide others on using new tools and technologies

Proven ability to innovate and a passion for staying at the forefront of technology.

Experience with distributed systems (especially those that run on Kubernetes) and

troubleshooting

them

Autonomous work ethic, thriving in a dynamic, fast-paced environment.

Experience providing technical leadership in a global team and delivering on a vision

Excellent written and verbal communication skills

A willingness to proactively

utilize AI-assisted development tools

such as

Cursor

and

Claude Code

for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

Open to exploring and experimenting with emerging

AI technologies

relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling

The following will be considered a plus :

While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

Understanding of how

Open Source

communities work

Experience working with

upstream communities

Familiarity or experience with the

MLOps lifecycle

, with an emphasis on

model training

Experience writing

Kubernetes / OpenShift controllers and operators

Experience

writing SDKs in Python

or other languages

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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