Software Developer (Active Github Contributor)

Mercor is seeking experienced software engineers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues derived from major open-source repositories through hands-on coding, debugging, and validation. It’s an opportunity to contribute your technical expertise to cutting-edge AI research. **Key Responsibilities** - Analyze and resolve software issues drawn from large open-source codebases - Write, test, and validate code solutions that address specific bugs or system inefficiencies - Implement and refine APIs, database structures, and backend components supporting AI workflows - Configure local development environments to replicate and investigate complex issues **Ideal Qualifications** - 1+ years of professional software engineering experience in a fast-paced or technically demanding environment - Proven contribution history to one or more of the following open-source repositories is a must: - astropy/astropy - django/django - matplotlib/matplotlib - pytest-dev/pytest - scikit-learn/scikit-learn - sphinx-doc/sphinx - sympy/sympy - Advanced proficiency in Python, API development, and structured testing - Excellent analytical, written, and communication skills - Exceptional attention to detail and persistence in debugging complex systems - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. **More About the Opportunity** - Expected workload: 10–20 hours per week, with flexibility to scale up to 40 hours - Duration: open-ended engagement with potential for long-term collaboration - Project start date: mid to late October (applications reviewed on a rolling basis) **Application Process** - Submit your resume and include links to your GitHub profile and relevant repository contributions - Applications reviewed continuously; shortlisted professionals will be contacted for next steps - Typical response time: within one week of submission