Staff Ml Engineer (Conversational Ai)

buscojobs Brasil; Distrito Federal; Teletrabalho; BRL 426.000 - 534.000; Tempo integral

Resumo da oferta

A tech company in mental health is seeking a staff-level AI role to lead the lifecycle of their conversational intelligence, collaborating closely with clinical psychologists. The ideal candidate has over 5 years of ML/AI experience and is proficient in Python and deep learning frameworks. This is a remote position offering a competitive salary and equity options, with the opportunity to impact mental health care significantly.

Serviços

Competitive salary + equity options

Remote-first culture

Flexible work hours

Impactful work in mental health

Qualificações

• 5+ years in ML/AI with 3+ shipping LLM/NLP systems in production.
• Deep skill in Python and deep learning stacks.
• Experience building agentic systems and eval harnesses.

Responsabilidades

• Lead the end-to-end model lifecycle of conversational AI.
• Work with clinical psychologists to ensure efficacy.
• Implement safety layers tuned to clinical guidelines.

Conhecimentos

Machine Learning expertise

Deep Learning frameworks (PyTorch, JAX, TensorFlow)

Python proficiency

Building agentic systems

Product sense

Comfort with ambiguity

Descrição da oferta de emprego

Company Description: Yuna's mission is to radically transform the way mental health support is accessed and delivered. By providing 24/7 instant and private support at the push of a button, we aim to address the significant gaps in mental health care accessibility. In a system where waiting times for therapists can reach up to 48 days and many people can't even afford care, Yuna is the answer to immediate mental health support needs.

We’re growing quickly, and every person who joins us plays a pivotal role in shaping the future of mental health technology.

Position Overview

You’ll own Yuna’s core conversational intelligence (i.e., spanning retrieval, memory, safety, evaluation, and post-training). You’ll 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.

Responsibilities

• Lead the end-to-end model lifecycle of Yuna’s conversational AI: problem framing → data curation → modeling / fine-tuning / post-training → evals → rollout → monitoring
• Work closely with clinical psychologists (both internal and external to Yuna), ensuring the efficacy of Yuna’s conversational AI
• Design agentic flows (tool use, planning, multi-turn memory) and safe retrieval for mental-health use cases
• Build and own the evaluation flywheel: benchmarks, judge models, rubrics for conversational quality, ability to help, safety
• Implement alignment & safety layers (e.g., 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

Location: Remote (work from anywhere, with at least 6 hours overlap with PST)

Employment Type: Full Time

What We Offer

• 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