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# Machine Learning Engineer

- **Company:** Red Hat
- **Location:** Boston, MA, United States (Remote available)
- **Salary:** $136,320.0 - $225,090.0
- **Contract:** Permanent contract
- **Skills:** Code Review, Software Debugging, Python (Programming Language), Machine Learning, Red Hat Enterprise Linux, Software Engineering, Fastapi, Information Technology, Codebase, Code Restructuring, Software Version Control
- **Published:** July 10, 2026
- **Apply:** https://www.careerjet.com/job/us192c72df0ae97f8d50158ac812a1beb2/eaa

## About the Role

* 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.

## Description

*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., Join a dynamic team as a PhD Engineer specializing in Electrical, Mechanical, or Chemical disciplines, where your expertise will contribute to a high-impact customer project. This …
 + 14 days ago
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