Research Manager | Fmta

DeepL DeepL · AI Frontier · Cologne · Research

Research Manager for a team focused on post-training foundation models for translation products, using techniques like reinforcement learning. The role involves people leadership and technical direction, balancing product commitments with research bets, and staying updated with literature to integrate cutting-edge ideas. The goal is to keep DeepL's language AI capabilities ahead of general-purpose models in customer-relevant domains.

What you'd actually do

  1. Drive and develop a high-performing team of research scientists, building strong individual development plans, fostering a candid and constructive feedback culture, and maintaining high standards of research rigour and delivery.
  2. Own the team's research roadmap in Reinforcement Learning in close collaboration with senior ICs and cross-functional stakeholders, balancing near-term product commitments with longer-horizon research bets.
  3. Define and communicate your team's strategic goals, roadmap, and success metrics in collaboration with key stakeholders across the research department
  4. Act as the primary technical interface between the Task Adaptation team and adjacent functions including product-aligned research teams and infrastructure, ensuring research output is well-scoped, well-communicated, and delivered at pace.
  5. Play an active role in identifying, assessing, and recruiting research talent as the team grows.

Skills

Required

  • PhD in Computer Science, Mathematics, Physics, or a comparable quantitative discipline, or strong machine learning background with equivalent research depth
  • Proven experience leading a team of researchers or ML engineers
  • Strong foundation in deep learning and large-scale model training
  • Experience in post-training of large language models
  • Excellent communication skills
  • Solution-oriented and decisive

Nice to have

  • Publication experience at top-tier venues
  • Experience in reinforcement learning

What the JD emphasized

  • post-training of large language models
  • leading a team of researchers or ML engineers
  • people leadership

Other signals

  • post-training
  • reinforcement learning
  • model alignment
  • research roadmap
  • people leadership