Staff Machine Learning Engineer

Coinbase·Remote - USARemotosenior

En corto

→Ingeniero de ML de alto impacto en inteligencia para soporte al cliente
→Diseña y entrega sistemas de ML escalables con LLMs, redes neuronales y NLP en producción
→Liderazgo técnico con enfoque en calidad, seguridad y mejora continua del servicio

Proficiency in English required

✓ Gratis para empezar✓ Corre en tu navegador✓ Primer dossier sin tarjeta✓ Listo en ~1 minuto

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Tu primer dossier es gratis.

Las preguntas que te van a hacer

1. ¿Cómo diseñarías un sistema de clasificación de tickets de soporte usando LLMs y grafos de conocimiento?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

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💵 USD · Remote · No visa

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¿Qué piden?

✓8+ años en ML y software engineering con sistemas en producción
✓Experto en LLMs, deep learning o técnicas clásicas de ML
✓Habilidades sólidas en Python para código productivo y bien probado
✓Experiencia mentorando ingenieros y elevando estándares técnicos
✓Uso responsable de IA generativa con supervisión humana
✓Capacidad para liderar revisiones de diseño y alinear con stakeholders

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

LLMsdeep learninggraph neural networksgradient-boosted treesregressionNLPinformation retrievaldata miningadvanced statisticsPython

¿A quién escribirle en Coinbase?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, CX Intelligence CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. What you'll do: • Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems. • Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes. • Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies. • Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code. • Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence. • Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack. Required Skills and Experience: • 8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services. • Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics. • Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services. • Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders. • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Job #: P77568 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus):<

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