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.RequirementsPhD 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.BenefitsGenerous Paid Time Off401k MatchingRetirement PlanFour Day Work WeekOriginally posted on Himalayas