Template @ DeepL
Your Application Journey
Email Hiring Manager
Job Details
About Template
DeepL is a global communications platform powered by Language AI. Since 2017, DeepL has been on a mission to break down language barriers with human-sounding translations and intelligent writing suggestions, designed with enterprise security in mind. Over 100,000 businesses use our products to transform communications, reach new markets, and improve productivity, while millions of individuals get empowered each day.
Team & Mission
You will join the Foundation Model Training team, a cross-functional unit of research scientists and data engineers specializing in machine learning. The team develops foundation models, manages pre-training corpora, and builds data preparation pipelines for unstructured data on a petabyte scale.
Your Responsibilities
- Collaborate with research scientists and data engineers.
- Deploy data processing solutions on AWS and on-premise data centers.
- Build and process large-scale datasets including text, images, and audio.
- Ensure high quality and availability of training data.
- Maintain code quality, documentation, and a great data product user experience.
Qualities We Look For
A degree in a scientific or technical field, experience in scaled-up tech companies, and strong data engineering skills using Python in cloud deployments are essential. You should be adept at exploratory data analysis, cleaning, validation, and have experience with distributed computing, infrastructure as code, and tools like Kubernetes on AWS.
Domain-specific Experiences (Ideal)
Experience with LLM training data preparation, NLP, text classification, GPU workflows, dynamic orchestration frameworks like Argo Workflows, and linguistic expertise are a plus.
What We Offer
- Diverse and globally distributed team with over 90 nationalities.
- Open communication and regular, actionable feedback.
- Hybrid work schedule with flexible hours and regular team events.
- Monthly Hack Fridays for creative projects and initiatives.
- 30 days annual leave plus competitive benefits tailored to your region.
Key skills/competency
Data Engineering, Machine Learning, Cloud, Python, AWS, Kubernetes, NLP, LLM, Data Pipelines, Infrastructure
How to Get Hired at DeepL
🎯 Tips for Getting Hired
- Research DeepL's culture: Explore mission, benefits, and team insights online.
- Customize your resume: Emphasize large-scale data and Python experience.
- Highlight cloud proficiency: Showcase AWS, Kubernetes, and CI/CD skills.
- Prepare for technical interviews: Review machine learning and data pipeline concepts.
- Network actively: Connect with current employees on LinkedIn.