Software Engineer, Character Platform & Tools

About the role

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.

Responsibilities

• 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

Required Qualifications

• Demonstrated 4+ years experience building and shipping production full-stack systems, with a strong sense of UI/UX for tools designed to be used by experts in other fields
• Experience building internal platforms or tooling, not just features — you think about the system, not just the ticket
• Proficiency with modern web stacks (we use React/Next.js and Python/FastAPI)
• Experience with cloud infrastructure (we're on GCP/Kubernetes)
• A strong sense of reliability and knowing when to build vs. borrow
• A curiosity about the domain: you don't need to be an ML engineer, but you should want to understand what you're building tools for
• Comfort working across disciplines — researchers, creative professionals, and operators — and translating between very different ways of thinking

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities.