At a Glance
- Tasks: Lead the development of next-gen translation models and drive impactful research.
- Company: Join DeepL, a global leader in AI technology with a vibrant culture.
- Benefits: Enjoy flexible hours, hybrid work, competitive pay, and 30 days annual leave.
- Other info: Be part of a diverse team dedicated to breaking down language barriers.
- Why this job: Shape the future of AI while collaborating with passionate innovators.
- Qualifications: Experience in scaling language models and strong coding skills required.
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.
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:
- Drive the selection and evaluation of open foundation / open-weight models as the basis for our next-generation translation systems.
- Lead model selection and general architecture decisions for scaling to hundreds of billions of parameters.
- Design multi-capability adaptation strategies using LoRA, PEFT, and related methods.
- Own the modelling lifecycle for your work: prototyping, ablations, scaling experiments, evaluation, and delivery into production.
- Partner closely with post-training, RL/RLHF, and instruction-following specialists.
- Stay ahead of the open-model and scaling literature, and bring well-founded recommendations back to the team.
Qualities we look for:
- Strong hands-on experience adapting and scaling large language models.
- Sound judgment about architecture trade-offs at scale.
- Working knowledge of parameter-efficient and multi-capability adaptation.
- A hands-on builder who enjoys training models and running experiments.
- Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow).
- Ability to communicate clearly and collaborate across teams.
Nice to have:
- Experience quantifying uncertainty in large models.
- Experience with machine translation or multilingual NLP.
- Familiarity with MoE-specific training and adaptation.
What we offer:
- Diverse and internationally distributed team.
- Open communication and regular feedback.
- Hybrid work and flexible hours.
- Virtual Shares - an ownership mindset in every role.
- Regular in-person team events.
- Monthly full-day hacking sessions.
- 30 days of annual leave.
- Competitive benefits tailored to your location.
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.
Senior Research Scientist | Model Scaling in London employer: DeepL
DeepL is an exceptional employer that champions innovation and collaboration in the heart of Greater London. With a strong emphasis on employee well-being, we offer generous benefits such as 30 days of annual leave and virtual shares, alongside a vibrant work culture that encourages open communication and team bonding through regular in-person events. Join us to not only advance your career but also to contribute to shaping the future of global communication in a supportive and dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Scientist | Model Scaling in London
✨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, 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. 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 | Model Scaling in London
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. 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. 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
✨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. 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 to drive research projects forward.
