Software Engineer (AI/ML)
Red HatAbout the role
Come be a part of Red Hat's charge to democratize AI with open source!
Red Hat's Global Engineering Team is looking for a Software Engineer to join our newly formed AI Engineering organization.
About the Team
This role will be located within the AI Innovation team in Red Hat AI Engineering, which leads frontier AI research in Red Hat and drives innovation for Red Hat's AI Portfolio.
The AI Innovation Team conducts customer- and science-driven research and productizes outcomes via open-source software. Our focus is on bridging the gap between cutting-edge research and production by productizing research papers (often featured in top AI conferences like NeurIPS, ICLR, and ICML) onto the Red Hat AI platform. We operate as an open organization where contributions are valued and expected from all levels.
*This role is Hybrid in Boston MA*
About the Role
You will work collaboratively within the engineering team to build the components that power the Red Hat AI platform. This is a hands-on execution role where you will turn requirements into clean, testable code.
We are seeking an eager learner with solid Python fundamentals who wants to grow their career in AI engineering. You will work under the guidance of senior engineers to implement features related to data generation, model training, and inference-time scaling. You will be expected to leverage AI tools in your daily workflow to maximize your learning speed and coding efficiency.
What You Will Do
Team & Engineering Responsibilities
Implement features and bug fixes for AI platform components using Python.
Write clean, maintainable, and well-documented code adhering to team standards.
Develop comprehensive unit tests and contribute to integration testing pipelines.
Proficiently leverage AI-assisted development tools to accelerate coding, testing, and documentation workflows.
Collaboration & Growth Responsibilities
Collaborate with senior engineers to understand technical requirements and translate them into working software.
Participate actively in code reviews to ensure code quality and learn best practices from senior team members.
Participate in agile ceremonies (sprint planning, stand-ups) and contribute to task estimation.
Actively learn and apply new AI/ML concepts and technologies to support the team's research implementation tasks.
What You Will Bring
Core Qualifications
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Must be able to work in the Boston, MA office
Proficiency in Python programming, with a good understanding of its ecosystem and standard libraries.
Basic knowledge of Linux/Unix environments and version control systems (Git).
Understanding of software development best practices (clean code, testing, debugging).
Proficiency in integrating AI tools into your daily development workflow to enhance productivity.
Coursework or projects related to Artificial Intelligence/Machine Learning and a strong willingness to learn new technologies.
Level-Specific Qualifications
2+ years of software development experience (can include relevant internship or open-source experience).
Ability to work effectively in an agile team environment.
Strong problem-solving skills and a proactive attitude toward troubleshooting.
Good written and verbal communication skills.
Considered a Plus
Proven track record of contributions to Open Source projects or communities.
Experience with containerization technologies (Docker, Kubernetes basics).
Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
Exposure to cloud platforms (AWS, GCP, Azure).
Knowledge of REST APIs and microservices architecture.
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
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