At a Glance
- Tasks: Lead innovative research for cutting-edge language AI translation products.
- Company: Join DeepL, a global leader in AI technology and innovation.
- Benefits: Enjoy flexible hours, hybrid work, competitive salary, and 30 days annual leave.
- Why this job: Shape the future of AI while making a real impact on communication worldwide.
- Qualifications: Expertise in machine translation and hands-on experience with ML models.
- Other info: Be part of a diverse team with regular events and opportunities for growth.
The predicted salary is between 36000 - 60000 ÂŁ 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 humanâlike translation, improved writing and realâtime voice translation. Founded in 2017 by CEO Jarek Kutylowski, DeepL now has over 1,000 passionate employees and is supported by worldârenowned 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 cuttingâedge AI technology, meaningful work, and a culture where people truly thrive. We are a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
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.
We are looking for a Staff Research Scientist to lead scientific innovation for our core text translation products. This is a highâimpact, handsâon role for a research leader who can define longâterm scientific strategy, prototype rapidly, run largeâscale experiments, and drive breakthroughs all the way into production.
Your responsibilities include:
- Lead handsâon research and development of our core text translation products.
- Drive innovation on methods relevant to achieving perfect translation quality as well as translation quality estimation and evaluation.
- Design, train, and optimize largeâscale, LLMâbased translation models for multilingual accuracy, context awareness, robustness, and varying latency demands.
- Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment.
- Work closely with engineering teams to integrate models into realâtime systems, ensuring reliability, uptime, and quality at scale.
- Drive improvements in inference efficiency, model serving, voice UX, and robustness to realâworld acoustic conditions.
- Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production.
- Mentor researchers and engineers, promote handsâon collaboration, and raise the bar for model quality and operational excellence.
We are looking for:
- Deep expertise in foundations and application of machine translation.
- A handsâon builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production.
- Experience shipping ML models to production, maintaining them at scale, and working with engineers on deployment, monitoring, and serving.
- Ability to lead complex research efforts while staying grounded in product impact, user experience, and realâworld performance.
- Strong coding and experimentation skills (Python, PyTorch/JAX, audio processing libraries).
- Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities.
- Proven experience mentoring others and elevating technical quality across a fastâmoving, applied research team.
What we offer:
- Diverse and internationally distributed team.
- Open communication, regular feedback.
- Hybrid work, flexible hours.
- Virtual Shares - An ownership mindset in every role.
- Regular inâperson team events.
- Monthly fullâday hacking sessions.
- 30 days of annual leave.
- Competitive benefits.
If this role and our mission resonate with you, but youâre hesitant because you donât check all the boxes, donât let that hold you back. At DeepL, itâs all about the value you bring and the growth we can foster together. Go ahead, applyâletâs discover your potential together. We canât wait to meet you!
We are an equal opportunity employer. You are welcome at DeepL for who you areâwe 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!
Staff Research Scientist | Language AI in London employer: DeepL
Contact Detail:
DeepL Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Staff Research Scientist | Language AI in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at DeepL on LinkedIn. Ask them about their experiences and any tips they might have for your application. A personal connection can really make you stand out!
â¨Tip Number 2
Prepare for the interview by diving deep into DeepL's products and recent innovations. Show us that you're not just interested in the role, but also passionate about what we do. Bring your ideas to the table!
â¨Tip Number 3
Practice your coding skills and be ready to demonstrate your problem-solving abilities. We love hands-on builders, so be prepared to tackle some real-world challenges during the interview process.
â¨Tip Number 4
Donât forget to showcase your collaborative spirit! At DeepL, teamwork is key. Share examples of how you've worked with others to achieve great results, and let us see your mentoring side too!
We think you need these skills to ace Staff Research Scientist | Language AI in London
Some tips for your application đŤĄ
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and language technology shine through. We want to see how your interests align with our mission at DeepL, so donât hold back on sharing what excites you about this field!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Staff Research Scientist role. Highlight relevant experiences and skills that match the job description, especially your hands-on experience with machine translation and model optimisation.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for the role. Plus, itâs super easy to do!
How to prepare for a job interview at DeepL
â¨Know Your Stuff
Make sure you brush up on the latest advancements in machine translation and AI technologies. DeepL is all about innovation, so being able to discuss recent trends or breakthroughs will show your passion and expertise.
â¨Show Your Hands-On Skills
Prepare to talk about your experience with training models and running experiments. Bring examples of projects where you've integrated ML systems into production, as this hands-on experience is crucial for the role.
â¨Collaboration is Key
DeepL values teamwork, so be ready to discuss how you've worked with cross-functional teams in the past. Highlight any mentoring experiences you have, as they want someone who can elevate the team's technical quality.
â¨Ask Insightful Questions
Prepare thoughtful questions about DeepL's current projects or future directions in Language AI. This shows your genuine interest in the company and helps you understand how you can contribute to their mission.