DeepL - Senior Research Scientist FMTA
Responsibilities
• As a Senior Research Scientist, you’ll design, implement, and deploy cutting-edge research in reinforcement learning and post-training at scale, driving innovations that make it into production. • Build and deploy state-of-the-art reinforcement learning pipelines at scale. • Post-train large (multi-modal) models to align them with human intent and enable general capabilities such as reasoning, pushing the boundaries of model performance, safety, and efficiency • Always keep the entire lifecycle of research and production in mind: from idea conception, theoretical modeling, prototyping, ablation studies, all the way to production deployment • Build and foster external collaborations with academic and industrial partners • Follow scientific and technical standards for experimentation, reproducibility, and model evaluation • Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users • QUALITIES WE LOOK FOR • We’re looking for a scientist with a deep technical background, strong leadership skills, and a proven track record of driving research in reinforcement learning or large-scale model alignment to production. • We are seeking researchers with a strong practical background, a creative mindset, and a passion for solving hard problems with real-world impact. • You have a solid mathematical background and enjoy solving challenging problems, evidenced by a masters degree, diploma, PhD, or equivalent industry experience in mathematics, physics, computer science, or a related field. • Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. • A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results. • Expertise in deep reinforcement learning (RLHF/RLAIF/RLVR) is a plus. • Hands-on experience scaling and deploying LLMs or other foundation models in real-world systems is a plus.
Benefits
• Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. • Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. • Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office three times a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT