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- Tasks: Innovate and build cutting-edge AI models for language and voice communication.
- Company: Join DeepL, a global leader in Language AI with a mission to improve communication.
- Benefits: Enjoy flexible hours, competitive pay, 30 days leave, and virtual shares.
- Why this job: Make a real impact in the fast-moving AI space while collaborating globally.
- Qualifications: PhD or equivalent experience in relevant fields; strong Python skills required.
- Other info: Be part of a diverse team with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact.
What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. Being part of DeepL means joining a team dedicated to innovation and employee well-being.
The Opportunity: Define the Future of Communication Role
We are looking for passionate Research Scientists to join our core AI pillars. This unified role covers three of our most critical research areas. Depending on your expertise and interest, you will join one of the following teams:
- Language AI: Building the world's leading translation and text-improvement systems, taking responsibility for the entire model lifecycle from data to deployment.
- Foundation Model Task Adaptation (FMTA): Shaping how our models learn beyond pre-training, focusing on RLHF, alignment, and post-training to enable new reasoning and controllability capabilities.
- Voice AI: Solving the "art of the possible" for real-time voice communication, including transcription, speech-to-speech translation, and low-latency audio generation.
Your Responsibilities
- Innovate & Build: Design and deploy state-of-the-art AI models—whether for translation, large-scale model alignment (RLHF/RLAIF), or multi-modal voice processing.
- Scale at Speed: Train neural networks at scale on DeepL’s dedicated GPU clusters, pushing the boundaries of performance while optimizing for low-latency production environments.
- End-to-End Ownership: Manage the entire lifecycle of research—from theoretical modeling and prototyping to ablation studies and production deployment.
- Collaborate Globally: Work with ML Platform, HPC, and DevOps teams to integrate your research into a robust infrastructure that serves millions of users.
- Advance the Field: Lead research initiatives that improve our mathematical understanding of neural networks, ensuring reproducibility and high scientific standards.
- Operational Excellence: Participate in shared on-call rotations (specific to Voice/Production teams) to ensure the reliability of our global AI services.
Qualities We Look For
- Technical Foundation: A solid mathematical background with a PhD, Master’s, or equivalent industry experience in Computer Science, Mathematics, Physics, or a related field.
- Engineering Proficiency: Deep practical experience in Python and at least one modern framework (PyTorch, JAX, or TensorFlow) evidenced through significant research projects or internships.
- Research Track Record: A history of leading self-directed research projects that deliver tangible results including academic publications.
- Domain Expertise: Specialized experience in at least one of the following (beneficial): Large-scale LLM post-training and alignment (RLHF, RLAIF, RLVR), Neural Machine Translation (NMT) and text modeling, Voice/Audio modalities (ASR, TTS, or Speech-to-Speech).
- Production Mindset: Proven experience scaling and shipping large-scale deep learning models to production is a significant plus.
- Communication: High proficiency in English; additional languages are a plus.
- Execution & Autonomy: A history of taking ownership over technical tasks—from initial experimentation to stable code—with the ability to work independently.
What We Offer
- Diverse and internationally distributed team: a global community with people of more than 90 nationalities.
- Open communication and regular feedback: clear, honest communication and collaboration with a growth mindset.
- Hybrid work & flexible hours: in-office two days a week with flexibility for remote work.
- Virtual Shares: ownership mindset in every role, rewarding you with a stake in our future.
- Regular in-person team events and monthly hacking sessions: opportunities to collaborate and innovate with other teams.
- 30 days of annual leave (excluding public holidays) plus mental health resources.
- Competitive benefits tailored to your location.
Equal Opportunity
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.
Research Scientist employer: DeepL
Contact Detail:
DeepL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at DeepL on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the application process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for interviews by diving deep into DeepL's products and mission. Understand how your skills align with their goals in Language AI. This will help you showcase your passion and knowledge during the interview.
✨Tip Number 3
Practice common interview questions related to research and AI. Think about how you can demonstrate your problem-solving skills and technical expertise. Mock interviews with friends can really help you nail it!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the DeepL team. Let’s get you that job!
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and language technology shine through. We want to see that you’re genuinely excited about the opportunity to innovate and make a real impact in the field.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience and skills. Focus on projects or roles that align with our mission at DeepL, especially those involving AI models, research, or language processing.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Research Scientist role. Share specific examples of your work, your research interests, and how they connect to what we do at DeepL.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at DeepL
✨Know Your Research
Before the interview, dive deep into your past research projects. Be ready to discuss your methodologies, findings, and how they relate to DeepL's mission in Language AI. This shows your passion and expertise, making you a standout candidate.
✨Showcase Your Technical Skills
Brush up on your Python and any frameworks you've used, like PyTorch or TensorFlow. Be prepared to discuss specific projects where you applied these skills, especially in scaling models or deploying them in production. Practical examples will impress the interviewers.
✨Understand the Company Culture
Familiarise yourself with DeepL’s values and work culture. Highlight how your personal values align with their mission to improve communication globally. This connection can make a significant impact during your interview.
✨Prepare Questions
Have thoughtful questions ready about the team dynamics, ongoing projects, or future directions of DeepL. This not only shows your interest but also helps you gauge if the company is the right fit for you.
