Transforming Mental Health Care with Conversational AI
yuna is a pioneering platform that aims to revolutionize the way mental health support is accessed and delivered. By providing instant and private support at the push of a button, we address the significant gaps in mental health care accessibility. Waiting times for therapists can reach up to 48 days, and many people cannot afford care. yuna is the answer to immediate mental health support needs.
We are growing quickly, and every person who joins us plays a pivotal role in shaping the future of mental health technology.
Position Overview
You will own yuna's core conversational intelligence spanning retrieval, memory, safety evaluation, and post-training. You will ship user-visible improvements quickly while raising the bar on empathy, reliability, and guardrails. This is a hands-on staff-level role equal parts research-to-production and platform thinking.
Key Responsibilities
- Lead the end-to-end model lifecycle of yuna's conversational AI, including problem framing, data curation, modeling / fine-tuning / post-training, evaluations, rollout, and monitoring.
- Work closely with clinical psychologists, both internal and external to yuna, ensuring the efficacy of yuna's conversational AI.
- Design agentic flows, tool usage, planning, multi-turn memory, and safe retrieval for mental-health use cases.
- BUILD AND OWN THE EVALUATION FLYWHEEL, including benchmarks, judging models, rubrics for conversational quality and ability to help and safety.
- Implement alignment & safety layers, such as self-harm detection, red-teaming, refusal strategies, escalation paths, 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 for model quality.
Requirements
5+ years in ML / AI with 3+ shipping LLM / NLP systems in production.Deep skill in Python and modern deep learning stacks (PyTorch / JAX / TensorFlow), retrieval, RAG embeddings, reranking, and long-context summarization.Experience building agentic systems, tool calling decomposition, memory, and rigorous eval harnesses offline + online.Strong product sense, you care about user outcomes, not just model metrics.Comfort working with ambiguity and creating systems 0 to 1.Benefits
Competitive salary based on experience + equity options.Remote-first culture with flexibility.A fast-growing, talented, and empathetic team dedicated to transforming mental health care.The opportunity to make a real impact on the world, building cutting-edge AI systems that improve lives every day.