Software Engineer, RL Environments

Job Description

As a Software Engineer (Environments), you will design datasets and evaluation rubrics that influence how frontier models learn. You will work on building data pipelines and conducting experiments to improve model capabilities.

Requirements: Candidates should have 1-4 years of software engineering experience with a focus on designing data slices and evaluation rubrics. A background in AI safety or benchmarking organizations is preferred, along with the ability to work on data pipelines and model evaluation.

Key Skills: Software Engineering, Data Analysis, Model Evaluation, Data Pipelines, Quantitative Frameworks, Experiment Design, AI Safety, Benchmarking, Data Quality, Machine Learning, Reinforcement Learning, Data Structures, Model Training, Synthetic Data, Research Collaboration, Evaluation Rubrics