Learning [h1.location_city]

Mercor is collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience.

• Key responsibilities
• Design and write detailed evaluation suites for machine learning engineering tasks - Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
• Ideal qualifications
• 3+ years of experience in machine learning engineering or applied ML research - Hands-on experience with model development, experimentation, and evaluation - Background in ML research (industry lab or academic setting strongly preferred) - Strong ability to reason about ML system design choices and tradeoffs - Clear written communication and high attention to technical detail