Usamos cookies técnicas y estadísticas de visitas: Yandex Metrica y el registro de visitas desidentificado de Zorky. 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 →
ZorkyZorky
Español
@termdocs
← Todos los empleos

Lead Research Engineer – AI Evaluation & Benchmarking

Leadhybrid146.800 USD · periodo no indicadohace 1 d
Análisis del mercado
📊 AI / ML / Data Science: salarios y demanda en el mercado
Stack
awsazurecloudcloud engineerllmpythonsql
Detalles
Experiencia
8+ años
Formación
Grado o experiencia equivalente
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
Job Description Thomson Reuters Labs is seeking a Lead Research Engineer to lead the design and delivery of production-ready software for artificial intelligence (AI) model evaluation and benchmarking. You will build scalable evaluation infrastructure that enables research and product teams to compare large language models (LLMs), measure quality, cost, and latency, and make informed decisions about model selection and development. You will own the engineering approach from early prototypes through reliable, maintainable tools, collaborating closely with research scientists, engineering teams, and product partners while helping shape technical direction and engineering delivery. Key Responsibilities Lead technical delivery and engineering planning: Partner with program and research leaders to define priorities, break projects into delivery stages, estimate effort and cost, recommend staffing and required skills, identify dependencies, and adapt plans to available resources. Design and build scalable evaluation infrastructure: Extend existing shared tools and services, design new components where needed, and develop production-quality Python software, APIs, and reusable evaluation frameworks. Deliver useful initial versions, validate them with users, and improve them through iterative development. Turn research methods into working software: Collaborate with scientists to build automated evaluation pipelines connecting model APIs, test datasets, and agreed scoring methods. Imp
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.
¿Pregunta urgente? Escribe a @termdocs