Machine Learning Engineer

*Telecommuting permitted: work may be performed within normal commuting distance to the Red Hat, LLC office in Boston, MA.

Refactor existing Python code to improve clarity, robustness, performance, and long-term maintainability. Design and implement modular, reusable components to support evolving technical requirements.

What You Will Do:

• Debug and resolve issues in Python applications by analyzing logs, data, and runtime behavior. Write clear, well-documented code and maintain technical documentation for ongoing development and knowledge-sharing.
• Apply standard software engineering practices, including version control, code reviews, and collaborative development workflows.
• Implement basic testing and validation to ensure correctness and reliability of Python code.
• Collaborate with other engineers and technical stakeholders to review designs, discuss tradeoffs, and iterate implementations.
• Translate experimental or research-oriented code into maintainable, production-quality Python modules suitable for use in shared codebases.
• Support experimental work by implementing simplified or adapted versions of methods described in research papers for evaluation purposes.

What You Will Bring:

• Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Mathematics or related field and two (2) years of experience in the job offered or related role.
• Must have two (2) years of experience with: developing, refactoring, and maintaining Python codebases; applying standard software engineering practices, including version control, code reviews, and collaborative development workflows; implementing basic testing and validation techniques to ensure correctness and reliability of software; designing and implementing modular, reusable software components to support evolving technical requirements; and debugging and resolving issues in Python applications through analysis of logs, data, and runtime behavior.
• Must have one (1) year of experience implementing simplified or adapted versions of methods described in research papers for evaluation or experimental purposes.
   

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The salary range for this position is $136,320 - $225,090/year. Actual offer will be based on your qualifications.

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 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.

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