Related skills

python tensorflow pytorch rlhf jax

πŸ“‹ Description

  • Innovate and deploy state-of-the-art AI models for translation and voice.
  • Scale training on DeepL GPU clusters with a focus on low-latency production.
  • Own the full research lifecycle from modeling to production deployment.
  • Collaborate with ML Platform, HPC, and DevOps to deploy robust infrastructure.
  • Drive research initiatives improving neural network math and reproducibility.
  • Participate in on-call rotations for Voice/Production teams.

🎯 Requirements

  • PhD/Master or equivalent in CS, Math, Physics, or related field.
  • Strong Python experience plus PyTorch, JAX or TensorFlow.
  • History of self-directed research with publications.
  • Beneficial: RLHF, RLAIF, RLVR, or NMT expertise.
  • Production mindset: shipping models to production is a plus.
  • Excellent English communication; additional languages a plus.

🎁 Benefits

  • Diverse and internationally distributed team.
  • Hybrid work with in-office twice a week.
  • Virtual Shares ownership tied to DeepL's growth.
  • Regular in-person team events.
  • Monthly full-day hacking sessions (Hack Fridays).
  • 30 days of annual leave.
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