At a Glance
- Tasks: Lead innovative research in AI for text translation and drive impactful projects.
- Company: Join DeepL, a global leader in AI technology with a vibrant culture.
- 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 difference in communication.
- Qualifications: Expertise in machine translation and hands-on experience with ML models.
- Other info: Be part of a diverse team and enjoy regular team events and hack sessions.
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 human‑like translation, improved writing and real‑time voice translation. Founded in 2017 by CEO 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.
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 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.
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. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company.
We are looking for Staff Research Scientists to lead scientific innovation for our core text translation products. This is a high‑impact, hands‑on role for a research leader who can define long‑term scientific strategy, prototype rapidly, run large‑scale experiments, and drive breakthroughs all the way into production. In this competitive and highly dynamic field, you will be responsible to solve the foundational challenges that will keep us at the forefront of what is possible.
Your responsibilities:
- Lead hands‑on 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 large‑scale, LLM‑based 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 real‑time systems, ensuring reliability, uptime, and quality at scale.
- Drive improvements in inference efficiency, model serving, voice UX, and robustness to real‑world acoustic conditions.
- Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production.
- Mentor researchers and engineers, promote hands‑on collaboration, and raise the bar for model quality and operational excellence.
What we’re looking for:
- Deep expertise in foundations and application of machine translation.
- A hands‑on 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 real‑world 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 fast‑moving, applied research team.
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.
- 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 twice a week.
- Virtual Shares - An ownership mindset in every role.
- Regular in‑person team events: we bond over vibrant events that are as unique as our team.
- Monthly full‑day hacking sessions: every month, we have Hack Fridays.
- 30 days of annual leave: we value your peace of mind.
- Competitive benefits: we’ve crafted it to reflect the diversity of our team.
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!
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. 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 employer: DeepL
Contact Detail:
DeepL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Research Scientist | Language AI
✨Tip Number 1
Network like a pro! Reach out to current employees at DeepL on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into DeepL's products. Understand their Language AI tech and think about how your skills can contribute to their mission of perfect translations.
✨Tip Number 3
Showcase your hands-on experience! Be ready to discuss specific projects where you’ve trained models or solved complex problems. Real-world examples will make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Staff Research Scientist | Language AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Research Scientist role. Highlight your experience in machine translation and any relevant projects you've worked on. We want to see how your skills align with our mission at DeepL!
Show Your Passion: Let your enthusiasm for AI and language technology shine through in your application. Share why you're excited about the opportunity to work at DeepL and how you can contribute to our innovative team. We love seeing genuine interest!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your potential.
Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at DeepL
✨Know Your Stuff
Make sure you brush up on the latest trends in machine translation and AI. DeepL is all about innovation, so being able to discuss recent advancements or challenges in the field will show that you're not just knowledgeable but also passionate about the subject.
✨Show Your Hands-On Experience
Be ready to share specific examples of your past projects where you've trained models or integrated ML systems into production. Highlighting your hands-on experience with Python, PyTorch, or JAX will demonstrate that you can hit the ground running in this role.
✨Collaboration is Key
DeepL values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Share instances where you've collaborated with engineers or product managers to drive a project forward, as this will showcase your ability to align research with real-world applications.
✨Ask Thoughtful Questions
Prepare some insightful questions about DeepL's current projects or future directions in Language AI. This not only shows your genuine interest in the company but also gives you a chance to assess if their goals align with your career aspirations.