Machine Learning Engineer- AI Engineering

Red Hat; Boston (MA); Remote; USD 133,000 - 282,000; Full time

Job summary

A leading company is seeking a Machine Learning Engineer to join their newly formed AI Engineering team. The role involves designing machine learning systems, optimizing models, and collaborating with various teams to drive innovative AI solutions. Ideal candidates will have experience in AI development, deep learning, and relevant technologies like PyTorch and Kubernetes. This position offers opportunities for remote work and competitive compensation based on qualifications.

Qualifications

• Experience in AI development and deep learning.
• Excellent written and verbal communication skills.

Responsibilities

• Design and implement machine learning systems.
• Collaborate with data scientists to productionize models.

Skills

AI development

Deep learning

Machine learning libraries

Prompt engineering

Fundamental mathematics

Feature engineering

Excellent written communication

Excellent verbal communication

Tools

PyTorch

Go

Python

Kubernetes

OpenShift

Docker

Jira

Git

Job description

Machine Learning Engineer

The future of open source AI starts with you. At Red Hat, we’re looking for engineers who want to become an integral part of democratizing AI technology, making open source AI available and accessible to all.

AI Engineering is a newly formed team where you'll have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you'll have freedom to innovate, and to focus on challenging, high-impact work that makes a difference.

We’re looking for Machine Learning Engineers across two teams: InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives.

Ideally, applicants should be located in the Boston, MA or Raleigh, NC area. However, we are open to considering candidates for remote work opportunities, depending on the specific role and required technical skills.

What You Will Do

• Design and implement machine learning systems
• Develop and optimize ML models for production use
• Create and maintain ML infrastructure and pipelines
• Ensure ML systems are scalable and maintainable
• Collaborate with data scientists to productionize models
• Collaborate closely with researchers, software developers, and upstream AI/ML communities

What You Will Bring

• Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics
• Experience in feature engineering
• Experience in PyTorch, Go, & Python development
• Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies
• Experience in agile development, Jira, and Git
• Ability to quickly learn and use new tools and technologies
• Excellent written and verbal communication skills

Additional Information

The salary range for this position is $133,650.00 - $281,770.00. Actual offer will be based on your qualifications.

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. This position may also be eligible for bonus, commission, and/or equity. For remote US locations, the actual salary range may differ based on location but will be commensurate with job duties and relevant work experience.