About this opportunity
Obsidian lists this Applied ML Evaluation Auditor opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Obsidian is seeking an applied ML evaluator to assess the quality, correctness, and rigor of experiments used to train frontier AI models. You will review experiment design, model-selection reasoning, and evaluation methodology.
This role emphasizes data-quality hygiene, leakage detection, and reproducibility—no MLOps duties. Experience with PyTorch, TensorFlow, scikit-learn, and XGBoost is expected; prior peer review or benchmarking is a plus.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.