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 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.
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. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.
What sets us apartWhat 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.
When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.
What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn,Instagram, and our Blog.
Meet the team behind this journey: Foundation Model Task Adaptation
We are the team behind DeepL’s post-training stack for large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay up to date with current literature to integrate cutting-edge ideas into our core stack. As part of this team, you will shape the future of how our models learn beyond pre-training — enabling new capabilities, better controllability, and safer, more effective user experiences.
As a Senior Staff Research Scientist, you’ll lead the design, implementation, and deployment of cutting-edge research in reinforcement learning and post-training at scale. You will define DeepL’s scientific direction in this area, mentor researchers, and drive innovations that make it into production.
You will:
Shape scientific strategy and vision for post-training across DeepL, identifying high-leverage directions, setting technical standards and leading research initiatives in a highly dynamic, fast-paced environment
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
Drive the entire lifecycle of research and production: from idea conception, theoretical modeling, prototyping, ablation studies, all the way to production deployment
Work closely with cross-functional leadership to shape the technical strategy and priorities of the foundational models research track
Build and foster external collaborations with academic and industrial partners
Set 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
Mentor and guide senior scientists, researchers, and engineers, fostering a culture of excellence, curiosity, and impact
We’re looking for a senior-staff-level 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.
PhD (or equivalent experience) in Computer Science, Machine Learning, Applied Mathematics, Physics or a related field
5+ years of experience in ML research, including several years leading high-impact projects with responsibilities extending across different teams
Strong expertise in deep reinforcement learning (RLHF/RLAIF/RLVR)
Hands-on experience scaling and deploying LLMs or other foundation models in real-world systems
Strong programming skills and experience working with large compute clusters and ML infrastructure
Excellent communication skills — able to clearly explain complex topics to diverse audiences
Track record of mentoring other scientists and setting technical long-term vision
What we offerDiverse 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 twice 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.
Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
Virtual Shares: An ownership mindset in every role. We believe everyone should share in our success, and that’s why every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and rewarding you with a stake in our future.
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. Go ahead, apply—let's discover your potential together. We can't wait to meet you!
You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.
