RL & Agentic AI Researcher — Benchmarking Data Quality

Protege; United States; On-site; USD 110,000 - 140,000; Full time

Job summary

Protege is seeking a Machine Learning Researcher focused on reinforcement learning and agentic systems to evaluate and create datasets, tasks, and benchmarks for advanced AI systems.

The ideal candidate will have a strong machine learning background and experience in designing evaluation frameworks for real-world model behavior. Join us to help shape high-quality datasets that define AI performance.

Qualifications

• PhD or equivalent Master's Degree + 4+ years industry experience in machine learning or related fields.
• Experience with large, unstructured datasets used to train or evaluate ML systems.
• Strong intuition for dataset quality and meaningful outcome structure.

Responsibilities

• Design and build datasets, tasks, environments for benchmarking.
• Develop frameworks to evaluate data quality for agentic systems.
• Benchmark model behavior in RL and agentic settings.

Skills

Machine learning background

Reinforcement learning

Data evaluation

Experimental design

Problem-solving

Education

PhD or equivalent Master's Degree

Job description

Protege is seeking a Machine Learning Researcher focused on reinforcement learning and agentic systems to evaluate and create datasets, tasks, and benchmarks for advanced AI systems.

The ideal candidate will have a strong machine learning background and experience in designing evaluation frameworks for real-world model behavior. Join us to help shape high-quality datasets that define AI performance.