Usamos cookies técnicas y el registro de visitas anonimizado de Zorky. Yandex Metrica (los datos se guardan en servidores en Rusia) solo se activa con tu consentimiento. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Los empleos y las páginas de empresas están abiertos a todos; los enlaces a las ofertas y tu selección personal se abren tras registrarte. Regístrate →
← Todos los empleos

Senior ML Engineer - NLP (m/f/d)

SeniorofficeBerlin, DE →hace 4 d
Análisis del mercado
📊 AI / ML / Data Science: salarios y demanda en el mercado
Stack
tech
Detalles
Inglés
C1, obligatorio
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción
🎤 Why […]?

At […], we believe the greatest gift to frontline workers is time: time to care, connect and be present. Our AI helps care professionals turn spoken notes into structured documentation, so they can spend less time on administrative work and more time with people.

More than 200,000 care workers use […]. Join us to build technology that makes a difference in their daily work.

💡 Your mission

Build agents that nurses can trust: accurate, fast and safe enough for real-world care. You’ll combine hands-on ML with thoughtful engineering and rigorous evaluation, using production data and feedback to improve the product.

We’re hiring four ML engineers through one process. Depending on your strengths and interests, you’ll work on hospital documentation, US senior care, German care agents or the shared NLP platform. You’ll be part of the NLP chapter and work closely with product and engineering colleagues.

🚀 What you’ll do Build and improve LLM agent workflows for nursing forms, assessments, care reports and care-plan suggestions, working on tools, context, state and prompts.

Own evaluation for your area: create benchmarks from production traces and synthetic scenarios, build regression tests and use results to inform what ships.

Investigate real-world failures, reproduce issues across the app, backend and models, and turn what you learn into fixes, tests and data-labeling tasks.

Train or adapt models where they outperform rented frontier models on quality, speed, c

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
Denunciar esta oferta
¿Pregunta urgente? Escribe a @termdocs