Member of Technical Staff - Research

You'll turn difficult problems in real workflows into research questions, develop improvements across models and agent systems, and carry results into production. This role is for a researcher with strong engineering ability who can move between model training, experimentation, and applied AI systems, choosing the right approach for our users.

• Own applied research projects from problem definition and experiment design through implementation and production validation.
• Train and adapt models for the reasoning, retrieval, and decision-making tasks
• Develop and test improvements to agent systems, including tool use, context, memory, planning, and recovery from failures.
• Build datasets, evaluation environments, and grading methods that capture the difficulty of real workflows.
• Inspect model outputs and agent traces, identify recurring failure modes, and turn those findings into changes to training, data, or system design.