other
Posted YesterdayMember of Technical Staff Production
at Slingshot
Remote
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Responsibilities
- Collaborate within a cross-functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack.
Requirements
- We aim to pay 90th percentile for the industry. All roles including meaningful equity ownership. 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.
- Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.
- This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally.
- You'll work across voice and AI stacks, internal services, and the data systems around them, improving observability, deployment, and platform tooling to scale reliably.
- Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, 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
- Experience working in a fast paced environment, taking systems from prototype to scaled production in weeks. Nice to have •
- Experience working on production AI inference or model serving systems. •
- Experience working on realtime systems such as voice, live communications, or streaming. •
- Experience working on large-scale data pipelines or evaluation systems. •
- Experience working with ML codebases (we don't need you to be an ML Engineer, but having an interest in AI helps!)
- Work comfortably across all parts of our stack, which includes core backend (Kotlin), ML scripts for evaluation, data processing, and inference (Python), low-level media streaming (Rust), the app (Dart/Flutter), and internal tooling (Next.js/TypeScript). Elevate user
- experience by continually refining the reliability, performance, and scalability of the systems behind Ash.