Machine Learning Engineer - Model Evaluation & Experimentation

Mercor
USARemote
Posted 6d ago · via Jobfound · Last checked 6d ago
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About the role

Mercor connects elite creative and technical talent with leading AI research labs. The Machine Learning Engineer will design and run machine learning experiments, explore reinforcement learning ideas, evaluate frontier models, and collaborate with researchers to maintain task consistency and rigor. Responsibilities Design tasks by turning real ML research ideas into well-defined, multi-step tasksRun experiments by implementing changes, running training experiments, and analyzing resultsExplore reinforcement learning ideas, focusing on reward functions and training behaviorEvaluate models to identify where frontier models fall shortCollaborate with researchers and experts to maintain task consistency and rigor Qualifications MSc or PhD in machine learning, computer science, or a related STEM field1+ years of experience in a research or research-engineering roleExperience in training and evaluating ML models and running experiments end-to-endStrong familiarity with large language models

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