Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI/NLP): Building AI-powered conversational systems and a multi-agent platform for customer experience with an accent on orchestration layers and LLM integration. Focus on designing state transitions, context sharing, and scaling production-grade ML services.
Location: Remote within Latin America (Latam)
Salary: R$455,500 BRL
Company
Coinbase is a remote-first company dedicated to increasing economic freedom through the creation of the future of finance.
What you will do
- Architect and deploy an orchestration layer managing state transitions, context sharing, and intent routing across LLM frameworks.
- Build production-grade Python services that bridge AI research with customer-facing products.
- Lead end-to-end execution of complex ML initiatives, managing technical trade-offs and cross-functional dependencies.
- Establish best practices for system design, coding standards, and AI/ML development workflows.
- Mentor engineers on architectural integrity and modern AI/ML patterns.
- Conduct design reviews to ensure security, scalability, and performance standards.
Requirements
- 5+ years of professional experience in machine learning and software engineering with a history of shipping production ML services at scale.
- Hands-on expertise with modern AI architectures (LLMs, deep learning) and frameworks like LangGraph, LangSmith, Vertex AI, or AWS Bedrock.
- Deep proficiency in Python for writing clean, maintainable, and highly-tested production code.
- Specialized knowledge in NLP, information retrieval, computer vision, or advanced statistical modeling.
- Proven ability to write technical design documents and present system architectures to stakeholders.
- Must be based in Latin America (Latam).
Culture & Benefits
- Remote-first environment with quarterly mandatory in-person working sessions called surges.
- Comprehensive benefits package including medical, dental, and vision insurance.
- Eligibility for equity and performance bonuses.
- High-performance culture that pushes engineers past perceived limits to build impactful systems.
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