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A leading talent marketplace is seeking experienced software engineers to support AI research. This remote engagement involves diagnosing issues from major open-source repositories, with a focus on hands-on coding, debugging, and validation. The ideal candidate has at least 1 year of software engineering experience, a proven record of contributions to notable open-source projects, and advanced proficiency in Python. The position offers flexible workloads, with potential for long-term collaboration and independent contractor status.
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 while working independently and remotely on your own schedule.
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
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.
Fully remote and asynchronous complete work on your own schedule
Expected workload: 1020 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)
Independent contractor engagement through Mercor
Hourly compensation paid weekly via Stripe Connect
Payments based on services rendered; contractors maintain full control over their work schedule and methods
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
Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
Our investors include Benchmark General Catalyst Adam DAngelo Larry Summers and Jack Dorsey
Thousands of professionals across domains like engineering research law and creative services have partnered with Mercor on frontier AI projects
Account Payable, C++, Community Support, Garment, Import & Export, Java
Employment Type : Full Time
Experience: years
Vacancy: 1