The best platforms don't just support a workflow — they transform who can participate in it. At Sesame, we're building lifelike, compelling characters. That quality doesn't come from models alone. It comes from tight collaboration between engineers, ML researchers, and the creative professionals who define what a believable character is
This is a full-stack engineering role focused on the internal tooling and platforms that power our character research pipeline. We're looking for engineers who are excited to build the systems that enable and accelerate that collaboration
You'll architect and develop the internal platforms that take our team from raw data to fully-realized characters — evaluating quality and iterating cross-functionally through a React-based frontend atop a Python/FastAPI backend, backed by cloud ML infrastructure. The goal isn't just to support what we're doing today; it's to build a platform where our creative and research teams can experiment, iterate, and push the frontier of what's possible in character AI
Design and build internal tools that let engineers, researchers, and creative professionals experiment with and assemble configurations of models — importing datasets, running training jobs, evaluating outputs — without needing to write code for every workflow
Build rich evaluation interfaces that surface model quality in ways that are readable and actionable for everyone, not just engineers
Collaborate closely with ML researchers and creative teams to deeply understand their workflows, then find the automation opportunities that accelerate their work
Take responsibility for the reliability and evolution of the tooling platform: monitoring, iterating on user feedback, and raising the ceiling of what's possible as the team's needs grow
Contribute to ML infrastructure where it connects to tooling — you'll understand the pipeline well enough to know what to expose, what to abstract, and what to automate