Member of Technical Staff

As a Member of Technical Staff focused on Machine Learning, you will ship models, training infrastructure, harnesses and evals end-to-end: designing, building, and launching the tech that makes Ash differentiated as a specialized model for mental health, to change a billion minds and lives.

As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders who care deeply about the quality of their work and want to ship things that make a real difference in people's lives. We care more about how you think and build than your specific background. If you're a great engineer who's curious about ML, we'd love to hear from you.

We work on a model-agnostic post-training engine running on our own cluster of leased GPUs managed by SkyPilot, trained by an auto-research loop, and evaluated with our home-grown eval index aimed specifically at mental health. We’re constantly improving, and focus on building feedback loops over features, and constantly learning from our production performance, our psych research team, and scalable data sources. Our product tech stack uses Dart/Flutter for the app, Kotlin for core backend services, and Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming.