This role focuses on advancing the evaluation and development of cutting-edge coding agents. You will operate at the intersection of AI research, software engineering, and model evaluation, designing the benchmarks, methodologies, and data systems that shape how next-generation coding models are measured and improved.

• Design and own evaluation frameworks for coding agents, including benchmark specifications, scoring methodologies, rubrics, and quality standards.
• Lead end-to-end research initiatives aimed at measuring and enhancing coding model performance across various software engineering tasks.
• Develop high-quality datasets, golden examples, and evaluation protocols that facilitate reliable assessment of frontier coding systems.
• Analyze model behavior and failure modes, identifying systematic weaknesses and translating findings into actionable improvements for training and evaluation.
• Build tool...