Staff Ml Engineer (Conversational Ai)

buscojobs Brasil; São Paulo; Teletrabalho; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A leading mental health technology company is seeking an experienced machine learning expert to lead the AI lifecycle of their conversational systems. You will collaborate with clinical psychologists and design safe evaluation frameworks. This remote role offers competitive salary and equity options, allowing for meaningful impact in transforming mental health care.

Serviços

Competitive salary

Equity options

Flexibility in remote work

Qualificações

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

Responsabilidades

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

Conhecimentos

Machine Learning

AI Systems

Python

Deep Learning

NLP

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

Overview

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.

What you’ll do

• 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

What you’ll bring

• 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