Senior Research Scientist FMTA

Meet Deep L

Deep L 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 Deep L's Language AI platform for human-like translation, improved writing and real-time voice translation.

Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, Deep L now has around 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, Deep L is your next destination.

What sets us apart

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.

When we share what it's like to work at Deep L, 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 Deep L means joining a team dedicated to innovation, growth, and well-being.

Discover more about life at Deep L on Linked In , Instagram , and our Blog .

Meet the team behind this journey: Foundation Model Task Adaptation

We are the team behind Deep L'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.

Your 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, Ph D, 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 Py Torch, Tensor Flow, 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.

What we offer

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