Data Engineer - Machine Learning | Fraud & Abuse

Meet DeepL

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.

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.

What sets us apart

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 LinkedIn, Instagram and our Blog.

Meet the team behind this journey

You will join the Abuse Prevention team, dedicated to safeguarding DeepL's products | and users by proactively identifying and mitigating fraud and abuse across our platform. Our team is building the foundations to leverage diverse data sources and signals to detect suspicious activity, develop scalable data pipelines, and power detection models. Together, we are designing and maintaining infrastructure to enable rapid response to emerging threats. We are collaborating closely with teams across the organization to integrate our solutions seamlessly into their products and help them design effective event tracking and instrumentation that supports robust abuse detection. As we develop and expand our data processing capabilities and investigate new approaches to threat detection, you’ll have the opportunity to shape how DeepL protects its products and users for the future.

What you’ll be doing

As a Data Engineer on this team, you will be at the core of our defence systems. Your primary mission is to build and maintain the infrastructure that allows us to detect and respond to threats in a scalable and reliable way.

• Architecting and Building Data Solutions: Your main job is to build the data infrastructure that underpins our defenses. You'll get to design and implement the systems that handle huge amounts of user data, from the ground up.
• Powering and Refining Detection Models: This is where your ML experience really comes into play. You’ll be responsible for improving our threat detection models, finding the crucial patterns in our data that help us spot and stop abuse.
• Ensuring System Reliability at Scale: You'll own the systems you build. That means keeping our data pipelines and detection tools running smoothly and efficiently, even as we scale. The threat landscape changes fast, and you'll make sure our systems can keep up.
• Collaborate to Protect: You won't be working in a silo. You'll team up with our backend engineers and other squads to build out key defenses like our rate limiting and bot protection systems.
• Champion Data Excellence: We're all learning here, and we expect you to be a big part of that. You'll be an important voice in our data community, sharing your expertise and helping us raise our collective game.

Your responsibilities

• A strong background in software development, with professional experience using Python and SQL.
• A solid understanding of fundamental algorithms and data structures.
• Practical experience applying machine learning techniques to solve real-world problems.
• Experience working with distributed systems, computer networks, and container orchestration technologies.
• A passion for tackling challenging problems and a growth mindset, with a proven ability to work with other engineers to drive innovative solutions.
• An effective and pragmatic mindset, with the ability to weigh the trade-offs between a "perfect" solution and a "good enough" one based on priorities and business impact.
• Experience with C# / .NET is considered a plus.
• Must be comfortable with a hybrid working model and able to come into our London office regularly (an average of twice per week).

Qualities we look for

• Professional experience in software development using Python & SQL.
• A solid foundation in algorithms & data structures.
• Practical experience applying machine learning techniques to real-world problems.
• Experience with distributed systems, computer networks, and container orchestration technologies.
• A passion for tackling challenging problems and a growth mindset, working with other engineers to drive innovative solutions and enhance product development.
• Effective and pragmatic: you can weigh between "perfect" and "good enough" depending on priorities and business impact.
• Experience with C# / .NET is a plus.
• Comfortable with a hybrid working model and able to come into our London office regularly (2x per week).

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. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
• Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
• Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
• Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
• Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
• 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
• Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.

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! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.