Senior Research Scientist | Model Steering

Meet DeepL. DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing, and real-time voice translation.

Founded in 2017, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey.

What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.

Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. This includes data, training, quality assurance, and operational aspects.

Your responsibilities include:

• Leading fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models.
• Driving hands-on research and development on post-training for our core translation models.
• Building reward models and evaluator models for translation.
• Owning the full lifecycle of model delivery.
• Establishing strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production.
• Mentoring researchers and engineers.

Qualities we look for:

• Proven experience making large models steerable and instruction-following.
• Deep, hands-on expertise in LLM post-training, knowledge distillation, and/or reinforcement learning.
• Strong data-centric instincts for building synthetic-data and preference-data pipelines.
• Experience designing evaluation and reward signals.
• Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow).

Nice to have:

• Demonstrated experience fine-tuning and training large models at scale.
• Experience with machine translation, multilingual NLP, or language quality estimation.
• Publications at top-tier venues.

What we offer:

• Diverse and internationally distributed team.
• Open communication, regular feedback.
• Hybrid work, flexible hours.
• Virtual Shares.
• Regular in-person team events.
• Monthly full-day hacking sessions.
• 30 days of annual leave.
• Competitive benefits.

If this role and our mission resonate with you, but you’re hesitant because you don’t check all the boxes, don’t let that hold you back. At DeepL, it’s all about the value you bring and the growth we can foster together.

We are an equal opportunity employer. You are welcome at DeepL for who you are - we appreciate authenticity here.