Senior Software Engineer, Machine Learning

Key Skills

Aartificial intelligence, Data science techniques, Effective communication skills, HuggingFace, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, MLOps tools, PyTorch, Red Hat OpenShift, TensorFlow

Job Description

Do you want to be part of a team that is focused on scaling the deployment, prompt-tuning, and monitoring of Foundation Models and Large Language Models (LLMs)? The OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and Machine Learning experience to join our rapidly growing engineering team. Our team’s focus is to make machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms.

In this role, you'll be contributing as a technical expert for the model serving and inference runtimes features of the open source Open Data Hub project and OpenShift AI by actively participating in KServe, Kubeflow, HuggingFace, vLLM, and several other open source communities. You will work as part of an evolving development team to rapidly design, secure, build, test and release model serving, trustworthy AI, and model registry capabilities. The role is primarily an individual contributor who will be a key notable contributor to the MLOps upstream communities and collaborate closely with the internal cross-functional development teams.

What you will do

• Be an influencer and leader in MLOps related open source communities to help build an active MLOps open source ecosystem for Open Data Hub and OpenShift AI

• Act as a Model Serving SME within Red Hat by supporting customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practices

• Architect and design new features in collaboration with open source communities such as KubeFlow and KServe

• Contribute to developing and integrating model inference and runtimes in OpenShift AI product

• Collaborate with our product management and customer engineering teams to identify and expand product functionalities

• Mentor, influence, and coach a team of distributed engineers

What you will bring

• Advanced Python or Golang experience.
• Hands on experience in deploying and maintaining machine learning models in production environments

• Ideally work Hybrid in Raleigh or be remote Eastern Time Zone
• Solid understanding of the fundamentals of model inferencing and runtimes architectures

• Solid understanding of Kubernetes

• Excellent written and verbal communication skills; fluent English language skills

The following will be considered a plus:

• Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field, or equivalent expertise; Master’s or PhD is a big plus

• Experience in engineering, consulting or another field related to model serving and monitoring, model registry, deep neural networks, in a customer environment or supporting a data science team

• Familiarity with popular python machine learning libraries such as PyTorch, Tensorflow, and Hugging Face

• Experience with monitoring and alerting tools such as Prometheus

The salary range for this position is $111,260 - $183,530. Actual offer will be based on your qualifications.

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Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

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 have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex. 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. Opportunities are open. Join us.

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Diversity, Equity & 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 diverse 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 of diversity 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.