Research Manager: Production Inference Systems

DeepL

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Diverse and internationally dispersed팀
Hybrid work
Virtual Shares
Team events
Hack Fridays
30 days of annual leave
Competitive benefits

Job summary

DeepL is seeking a Research Manager for the Production Inference team in a hybrid UK role. You will lead a group of research scientists and ML engineers responsible for reliable, scalable language model serving at DeepL.

You will define the technical direction, review architectures, and balance research rigor with production needs to meet latency and cost goals. The role demands strong leadership, a solid background in production ML, and excellent communication to coordinate across research,

Qualifications

  • Experience leading a team of researchers or ML engineers.
  • Background in production ML systems with scalable inference.
  • Excellent communication and ability to translate complex direction into clear goals.

Responsibilities

  • Lead and develop a high-performing team of researchers and ML engineers, building plans and maintaining high delivery standards.
  • Own the team's research and development roadmap for production inference systems, coordinating with senior ICs and stakeholders.
  • Act as the primary technical interface between the team and adjacent functions to align research output with product needs.
  • Drive reliability, efficiency and cost performance of the model serving stack, including infrastructure evolution decisions.
  • Operate with autonomy, defining direction and delivering results in evolving, ambiguous environments.
  • Identify and recruit research and engineering talent as the team grows.

Skills

Team leadership
ML systems
LLM inference
Production scale
Strong communication
Decision making

Education

Quantitative degree (CS/Math/Physics)

Tools

Model serving systems
Inference optimisation

Job description

DeepL is seeking a Research Manager for the Production Inference team in a hybrid UK role. You will lead a group of research scientists and ML engineers responsible for reliable, scalable language model serving at DeepL.

You will define the technical direction, review architectures, and balance research rigor with production needs to meet latency and cost goals. The role demands strong leadership, a solid background in production ML, and excellent communication to coordinate across research,

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