Transforming mental health support accessibility is a mission of utmost importance.
We aim to address the gaps in care by providing instant and private 24 / 7 support. This enables us to reach more individuals and make a greater impact.
About the Role
This is a staff-level position, requiring equal parts research-to-production and platform thinking.
Key Responsibilities :
- Own the end-to-end model lifecycle of our conversational AI system
- Work closely with clinical psychologists to ensure the efficacy of our conversational AI
- Design agentic flows and safe retrieval for mental-health use cases
- Build and own the evaluation flywheel
- Implement alignment & safety layers tuned to clinical guidelines
- Optimize for latency, cost, and quality
- Partner tightly with product, sales, and users to scope new features
- Establish LLMOps : datasets, prompts / checkpoints / versioning, observability, drift monitoring, and incident response
Requirements :
5+ years in ML / AI with 3+ shipping LLM / NLP systems in productionDeep skill in Python and modern deep learning stacks (PyTorch / JAX / TensorFlow), retrieval / RAG, embeddings, reranking, and long-context summarizationExperience building agentic systems and rigorous eval harnessesStrong product sense; you care about user outcomes, not just model metricsComfort working with ambiguity and creating systems 0 to 1About Location
Remote work is available with at least 4 hours overlap with PST.