Applied AI, Research Engineer

Anthropic · San Francisco, CA | New York City, NYsenior

In short

▸Ingeniero de investigación aplicada en IA que prueba, demuestra y conecta capacidades de modelos con clientes reales.
▸Día a día: trabaja con equipos de producto, hace pruebas, crea demos, apoya a clientes clave y traduce aprendizajes en mejoras para productos y modelo.
▸Lo destacado: es el puente técnico entre investigación, producto y ventas, con voz en la estrategia del producto.

Inglés fluido (requerido para comunicación con equipos globales y clientes)

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What they ask for

✓6+ años como ingeniero de software, TPM, ingeniero desplegado, fundador de startup de IA o rol técnico similar
✓Experiencia comprobada con clientes o usuarios finales
✓Capacidad para profundizar en problemas técnicos y traducirlos en materiales prácticos
✓Habilidades sólidas de comunicación para explicar capacidades complejas
✓Capacidad de trabajar con equipos multidisciplinarios (ventas, producto, investigación)
✓Experiencia en evaluaciones, prototipos y demostraciones técnica

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

IAmodelos de lenguajeevaluaciones de modelosdemosprototiposplaybooksentrenamiento técnicoarquitecturas de referenciaGTManálisis de adopción

Who should you write to at Anthropic?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: • Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain • Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle • Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains • Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one • Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field • Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps • Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge • Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: • 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users • A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helpe

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