Machine Learning Engineer
Red River•Boston, MA
•$136,320 - $225,090•Hybrid
About The Position
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.
Requirements
- 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.
- Two (2) years of experience with: developing, refactoring, and maintaining Python codebases.
- Two (2) years of experience with applying standard software engineering practices, including version control, code reviews, and collaborative development workflows.
- Two (2) years of experience with implementing basic testing and validation techniques to ensure correctness and reliability of software.
- Two (2) years of experience with designing and implementing modular, reusable software components to support evolving technical requirements.
- Two (2) years of experience with debugging and resolving issues in Python applications through analysis of logs, data, and runtime behavior.
- One (1) year of experience implementing simplified or adapted versions of methods described in research papers for evaluation or experimental purposes.
Responsibilities
- 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.
Benefits
- bonus
- commission
- equity
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
