At a Glance
- Tasks: Design and deploy cutting-edge research in reinforcement learning and model alignment.
- Company: Join DeepL, a global leader in AI technology and innovation.
- Benefits: Enjoy hybrid work, flexible hours, 30 days annual leave, and competitive benefits.
- Other info: Be part of a diverse team with a shared mission to connect cultures.
- Why this job: Shape the future of AI while making a real-world impact.
- Qualifications: Strong background in mathematics, Python, and machine learning frameworks.
The predicted salary is between 63000 - 77000 £ per year.
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 by CEO Jaroslaw “Jarek” Kutylowski, DeepL 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.
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.
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.
Your responsibilities as a Senior Research Scientist include:
- Designing, implementing, and deploying cutting-edge research in reinforcement learning and post-training at scale.
- Building and deploying state-of-the-art reinforcement learning pipelines at scale.
- Post-training 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.
- Keeping the entire lifecycle of research and production in mind: from idea conception, theoretical modeling, prototyping, ablation studies, all the way to production deployment.
- Building and fostering external collaborations with academic and industrial partners.
- Following scientific and technical standards for experimentation, reproducibility, and model evaluation.
- Collaborating deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users.
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. 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 is essential.
What we offer includes:
- Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities.
- Open communication, regular feedback: we value the importance of clear, honest communication.
- Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office three times a week.
- 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.
- 30 days of annual leave: we value your peace of mind.
- Competitive benefits: we've crafted our benefits package to reflect the diversity of our team.
We are an equal opportunity employer. You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace.
Senior Research Scientist FMTA employer: Deepl-Se
DeepL is an exceptional employer that fosters a culture of innovation and collaboration, where employees are empowered to shape the future of AI technology. With a diverse, globally distributed team and a commitment to open communication, flexible working arrangements, and personal growth, DeepL offers a unique environment that values creativity and well-being. Join us in making a meaningful impact while enjoying competitive benefits and a supportive workplace that celebrates authenticity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist FMTA
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Deepl-Se, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Deepl-Se. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Senior Research Scientist FMTA
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Deepl-Se. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Deepl-Se. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Deepl-Se
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Deepl-Se. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Deepl-Se to drive research projects forward.
