AI role · Open offer
Senior NLP Engineer — translation AI
DeepL
- Full-time
- Senior
- NLP
- Hybrid
- Maarweg 165, 50825 Cologne, Germany · Hybrid
- EUR 88k–120k/year
At a glance
How you'll work, where, and key listing dates.
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Maarweg 165, 50825 Cologne, Germany · Hybrid
- Compensation
- EUR 88k–120k/year
- Experience level
- Senior
- Team
- NLP
- Benefits & perks
About this role
What the team is looking for and how this position fits.
DeepL is hiring a Senior Senior NLP Engineer — translation AI on the NLP team (Hybrid · Cologne, Germany). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
DeepL sets the bar for machine translation quality with research and product teams in Cologne.
Improve neural MT and LLM-assisted translation with rigorous quality metrics.
What you will do
- Ship production NLP and machine translation with offline evals, monitoring, and safe rollout.
- Work with product and domain experts on requirements and trade-offs.
- Improve data pipelines, labeling, and metrics tied to business KPIs.
- Document runbooks for on-call and customer-facing teams.
What we look for
- Strong Python and modern ML/LLM stack with shipped features.
- SQL, experimentation, and clear communication to stakeholders.
- Eligible to work in the listed country; professional English required.
Skills we're hiring for
What each capability means for this role—not a keyword checklist.
- Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
- PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
- Transformers
Tools & stack
Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).
- DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
You're a strong fit if…
Tailored to this listing—use it as a self-check before you apply.
- ✓You can show evidence in your application: MT, LLM, or quality estimation with BLEU/chrF++ improvements.
- ✓Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Transformers, and Docker.
- ✓You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
- ✓You are comfortable with the hybrid rhythm (Hybrid · Cologne, Germany)—onsite collaboration when it matters, deep work when remote.
- ✓You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
- ✓You read the full listing (comp: EUR 88k–120k/year, benefits in At a glance) and your expectations align.
Apply
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What the employer asked for
MT, LLM, or quality estimation with BLEU/chrF++ improvements.
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