Member of Technical Staff
What you need
- 3+ yrs engineering experience owning systems others rely on
- Experience with LLMs, fine-tuning, harness engineering, and evals
- Proficient using agents to automate workflows
- Collaborative and direct, enjoys in-person small team work
- Fast-paced startup experience or drive to thrive in one
What you'll do
- Ship models, training infrastructure, harnesses and evals end-to-end
- Design and launch specialized mental health model technology
- Act as owner delivering value to users and improving lives
- Build feedback loops from production performance and research data
- Collaborate with psych research team on mental health eval index
Slingshot AI
Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.
We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you.
Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.
We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.
Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.
We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you.
Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.
We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.
The role
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. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require.
About you
3+ years of engineering experience, owning systems other people rely on.
Experience working with LLMs, ideally with fine-tuning, harness engineering, and evals
Proficient in using agents to do your homework for you
Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy tearing down experiments and features as we learn
Experience in a fast-paced startup, or the drive to thrive in one.
Collaborative and direct. You enjoy working in person with a small team.
What we offer
A chance to join a passionate tight knit team working on something to change the world
Competitive compensation (top of personal market) and meaningful equity
Travel between our NYC and London offices
Usual startup perks like free lunch and coffee in office plus a generous learning budget
We cover your personal therapy
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About Slingshot AI
Slingshot AI is a mental health AI research lab building the first-ever foundation model for psychology. Our mission is to make mental health support more accessible and help people change their minds and lives in the ways they want to. We’ve built and continue to build a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you. Our team spans machine learning, product, engineering, conversational design, expert, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.
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