Sr. AI Researcher, Agentic Systems

📋 Description

• Design and develop agentic systems capable of planning and executing multi-step tasks across
• Build and maintain the context and retrieval layer, enabling agents to access relevant evidence
• Develop the tools and interfaces agents use to locate components, compare site captures, inspect
• Design evaluation frameworks for complex tasks where ground truth is limited, expensive to obtain
• Use evaluation results to determine system readiness, identify limitations, and guide improvements
• Select the most appropriate model for each task, balancing frontier-model APIs, open-weight models

🎯 Requirements

• Master's or Ph.D. in a relevant field, or equivalent professional experience.
• At least 5 years of experience building machine learning systems, including experience taking at
• Demonstrated ability to design evaluation frameworks from scratch when reliable ground truth is
• Strong knowledge of multimodal AI, including vision-language models, embeddings, retrieval systems
• Strong software engineering skills, particularly in Python, asynchronous orchestration, tracing
• Ability to build custom testing and evaluation harnesses for AI systems.

🎁 Benefits

• Base salary: $184,000–$265,000 annually, depending on location, skills, experience, training
• Equity awards as part of the total rewards package.
• Medical, dental, and vision coverage with 100% of premiums paid by the employer.
• Flexible paid time off.
• 401(k) retirement plan with company matching.
• Paid parental leave.