Applied AI Engineer, Beneficial Deployments (Lab Automation)

Anthropic·London, UKmid

En corto

→Ingeniero de IA aplicada que automatiza experimentos científicos con Claude en laboratorios reales.
→Trabajas con laboratorios, construyes herramientas reutilizables y mejoras el estándar MHS en campo.
→Requiere viajar mucho y actuar como embajador técnico de Claude en Europa, Medio Oriente y África.

Fluent English required for technical communication and presentations.

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

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Las preguntas que te van a hacer

1. ¿Cómo diseñarías una evaluación para medir la seguridad de Claude al controlar un robot de transferencia líquida?

🔒 +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?

✓Experiencia práctica conectando software a robots y equipos de laboratorio.
✓Habilidades sólidas en ingeniería para llevar prototipos de IA a producción.
✓Instinto científico para identificar qué experimentos automatizar y dónde hay riesgos.
✓Experiencia técnica con clientes o socios externos.
✓Comunicación clara por escrito y verbal para documentar y presentar.
✓Mentalidad ágil: capacidad para trabajar en múltiples roles y construir desde cero.

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

ClaudeModel Hardware Standard (MHS)Liquid handlersPlate readersScheduling softwareLIMSProduction codeEvalsCookbooksDocumentation

¿A quién escribirle en Anthropic?

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

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. 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. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software. You'll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research. You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction. Responsibilities • Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code. • Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc. • Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets. • Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences. • This role will require significant travel You Might Be a Good Fit If You Have • Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab. • Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. • A scientist's instinct for how experiments work: you can spot what's worth automating, and where AI might fail or be unsafe in the physical world. • Experience working directly with external customers or partners in a technical role. • Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust. • A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 — £255,000 GBP

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