Senior Research Data Engineer

<h1><strong>Meet DeepL</strong></h1><p>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. And, empower millions of individuals worldwide to make sense of the world and express their ideas.</p><p>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. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.</p><p></p><h2><strong>What sets us apart</strong></h2><p>What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on <a href="https://www.linkedin.com/company/linkedin-com-company-deepl/" rel="noopener noreferrer nofollow" target="_blank"><u>LinkedIn</u></a>,<a href="https://www.instagram.com/deeplhq/" rel="noopener noreferrer nofollow" target="_blank"> <u>Instagram</u></a> and our<a href="https://www.deepl.com/en/blog" rel="noopener noreferrer nofollow" target="_blank"> <u>Blog</u></a>.</p><h2><strong>Meet the team behind this journey</strong></h2><p>DeepL is renowned for its translation and language AI products. At the core of these products are custom-built algorithms and models that are trained using data. The quality and volume of data are key factors in our success.</p><p>You will join our Foundation Model Training team. As a cross-functional team of research scientists and data engineers specialising in machine learning, we develop foundation models and manage the pre-training corpora and associated data preparation pipelines. We work with unstructured data on a petabyte scale. This is a fast-paced and highly competitive field.</p><p></p><h2><strong>Your responsibilities</strong></h2><ul><li><p>Work as part of a foundation model training research team consisting of research scientists and research data engineers.</p></li><li><p>Deploy to cloud infrastructure, incl. AWS and company data centers (on prem) where you will own operation of data processing at massive scale.</p></li><li><p>Build and process large scale datasets of real-world unstructured text documents and other unstructured data like images or audio, and attached metadata.</p></li><li><p>Collaborate with stakeholders, research scientists, other research data engineers and data tooling and platform teams.</p></li><li><p>Act as an owner for the quality and availability of our foundation model training data.</p></li><li><p>Maintain high quality code with documentation and provide a great data product user experience.</p></li><li><p>Participation in our on-call rotation: You’ll ensure the reliability and availability of our services by being available to join the team's shared on-call rotation as needed.<br/></p></li></ul><h2><strong>Qualities we look for</strong></h2><ul><li><p>Degree in a scientific or technical field.</p></li><li><p>Work experience in a scaled-up tech company, ideally with a focus on large-scale unstructured data.</p></li><li><p>Extensive experience with data engineering using Python and Python data ecosystem in cloud deployments.</p></li><li><p>Exploratory data analysis, data cleaning, data validation, ideally ML feature engineering for text and other unstructured data.</p></li><li><p>Developing, testing and deploying data pipelines and infrastructure</p></li><li><p>End-to-end ownership of data solution development, operations, testing and quality assurance, ideally responsibility for data products.</p></li><li><p>Experience with distributed computing and infrastructure-as-code, ideally Kubernetes on AWS.</p></li><li><p>Excellent communication and collaboration skills in an English-speaking organization.</p></li></ul><p>Ideally, you have domain-specific experiences:</p><ul><li><p>LLM training data preparation.</p></li><li><p>NLP, text classification, model-based/GPU workflows.</p></li><li><p>Dynamic workflow orchestration frameworks like Argo Workflows.</p></li><li><p>Linguistics expertise or speaking multiple languages.</p></li></ul><p></p><h2><strong>What we offer</strong></h2><ul><li><p><strong>Diverse and internation