Machine Learning Engineer - AI Model Benchmarking

Key Responsibilities

• Design and execute human baseline experiments for open‑ended AI research tasks.
• Develop and maintain reproducible Python pipelines for data collection, preprocessing, and analysis.
• Interpret model outputs, generate benchmark metrics, and produce clear, actionable reports.
• Collaborate with research teams to refine evaluation protocols and improve benchmark relevance.
• Document methodologies, maintain version control, and ensure reproducibility of all experiments.

Requirements

• Strong background in machine learning, with hands‑on experience in Python and data‑analysis libraries (NumPy, pandas, scikit‑learn).
• Proven ability to design and conduct rigorous benchmark studies in AI research.
• Excellent analytical skills, with a focus on statistical evaluation and metric development.
• Self‑motivated, able to work independently in a sandboxed environment.
• Effective communication skills for presenting findings to technical and non‑technical audiences.