Head of Production Inference & ML Systems

DeepL; Países Bajos; Presencial; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

DeepL in the Netherlands seeks an Engineering Manager to lead the Production Inference team, guiding researchers and ML engineers responsible for scalable, reliable language AI model serving. You will shape technical direction, review architectures, and improve performance, cost, and reliability across the inference stack.

This role sits at the crossroads of research and production, collaborating with foundational models, voice research, infrastructure, and product teams.

Formación

• Proven experience leading a team of researchers or ML engineers.
• Ability to balance research quality with production reliability.

Responsabilidades

• Lead and develop a high-performing team of researchers and ML engineers, building strong development plans and maintaining high standards of rigour.
• Own the team's research and development roadmap for production inference systems, in close collaboration with senior ICs and cross-functional stakeholders.
• Act as the primary technical interface between the Production Inference team and adjacent functions—ensuring research output is well-scoped and delivered without bottlenecks.
• Drive the reliability, efficiency, and cost performance of DeepL's model serving stack, including infrastructure decisions around serving and hardware utilization.
• Operate with autonomy, defining the team's direction and delivering results in evolving requirements.
• Identify, assess, and recruit research and engineering talent as the team grows.

Conocimientos

Team leadership

ML research

System architecture

Descripción del empleo

DeepL in the Netherlands seeks an Engineering Manager to lead the Production Inference team, guiding researchers and ML engineers responsible for scalable, reliable language AI model serving. You will shape technical direction, review architectures, and improve performance, cost, and reliability across the inference stack.

This role sits at the crossroads of research and production, collaborating with foundational models, voice research, infrastructure, and product teams.