Machine Learning Researcher - RL and Agentic Systems

Protege is building a platform to solve the biggest unmet need in AI — getting access to the right training data. As a Machine Learning Researcher, you'll help define, design, and evaluate datasets, tasks, environments, and benchmarks for advanced AI systems. The company is backed by world-class investors and is already powering partnerships with some of the most ambitious teams in AI.

Requirements

• PhD or equivalent Master’s Degree + 4+ years industry experience in machine learning, computer science, statistics, engineering, mathematics, economics, or related quantitative fields.
• Strong understanding of AI model training pipelines, evaluation methodology, and the role of data in shaping model performance.
• Experience working with large, unstructured, or semi-structured datasets used to train or evaluate ML systems.
• Experience with reinforcement learning, sequential decision-making, agentic systems, tool-using models, or multi-step model evaluation.
• Experience designing tasks, benchmarks, environments, simulations, or evaluation frameworks for real-world model behavior.
• Strong intuition for realism, coverage, difficulty, fidelity, and meaningful outcome structure in datasets.
• Strong experimental design, evaluation, benchmarking, and data-validation skills.
• High ownership and ability to independently identify and solve high-impact problems.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week