Senior Research Data Engineer - Foundation Models

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. Building on a history of innovation, quality and security, DeepL continues to expand its offerings beyond the field of Language, including DeepL Agent - an autonomous AI assistant designed to transform the way businesses and knowledge workers get work done. 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. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.

WHAT SETS US APART

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. Discover more about life at DeepL onLinkedIn https://www.linkedin.com/company/deepl/,Instagram https://www.instagram.com/deepl_official/, and our Blog https://www.deepl.com/en/blog.

MEET THE TEAM BEHIND THIS JOURNEY

Every new innovation at DeepL begins in the research department, in the minds and hands of researchers, engineers and developers that are passionate about advancing AI. Data is the lifeblood that fuels this passion, and a crucial part of our work, from model training to quality evaluation.

You will join our Foundation Model track. As a cross-functional group of research scientists and data engineers specialising in machine learning, we develop foundation models for the use in our AI products. Our data engineers create, refine and manage multi-modal training corpora, and own the associated data collection and preparation pipelines. We work with unstructured data on a petabyte scale, and tens of thousands of cores in a hybrid cloud setting to fuel our most ambitious projects.

YOUR RESPONSIBILITIES

- Work on ambitious frontier research projects as part of a team consisting of research scientists and research data engineers.

- Architect, design and build data pipelines that can handle petabytes of multi-modal unstructured data.

- Build a modern data engineering stack grounded in state-of-the-art technology for orchestration and parallel computation, and make extensive use of actively developing open-source solutions.

- From the lowest levels of components to the birds-eye view of a system - find performance bottlenecks, debug issues, and create pipelines with a focus on stability.

- Leverage our large on-prem data centers and AWS cloud infrastructure for blazing data processing.

- Go beyond “Big Data” and ETL, and engineer and operate complex Python data solutions for real-world unstructured data incl. text, code, image and audio modalities.

- Collaborate with stakeholders, research scientists, other research data engineers and data tooling and platform teams.

- Raise the standard for excellence and act as owner and champion for the quality and availability of our foundation model training data.

- Ensure mission-critical reliability of data pipeline jobs, and maintain high quality code.

Play to your strengths and contribute with creativity, thoroughness, pragmatism, foresight, ingenuity, persistence, and every part of you that elevates the team.

QUALITIES WE LOOK FOR

- Professional experience in data, platform or software engineering, ideally with a focus on large-scale unstructured data.

- Python: Extensive professional experience in Python software engineering. Ideally, experience in maintaining proprietary or open-source software products.

- Data: Experience with exploratory data analysis, cleaning, validation and quality control beyond business intelligence and analytics scale.

- Pipelines: Experience with building reproducible pipelines for storing and processing petabytes of data.

- Operations: Proficiency in containerization and automatic deployment. Ideally, experience with container orchestration with