Staff Ml Engineer (Conversational Ai)

buscojobs Brasil; Maranhão; Teletrabalho; BRL 533.000 - 801.000; Tempo integral

Resumo da oferta

A mental health technology company is seeking a staff-level role focused on developing conversational AI systems. Responsibilities include leading AI model lifecycle and collaborating with clinical psychologists to ensure effectiveness. Ideal candidates have over 5 years in machine learning, strong Python skills, and experience with modern deep learning frameworks. This remote position offers a competitive salary and a chance to impact mental health care significantly.

Serviços

Competitive salary + equity options

Remote-first culture with flexibility

Impactful work in mental health technology

Qualificações

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

Responsabilidades

• Lead the end-to-end model lifecycle of Yuna’s conversational AI.
• Work closely with clinical psychologists to ensure efficacy.
• Design safe retrievals and agentic flows for mental health use cases.

Conhecimentos

Machine Learning

Natural Language Processing

Python

Deep Learning

Problem Framing

Data Curation

Ferramentas

PyTorch

TensorFlow

JAX

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 and Employment Type

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