This is a company built for growth.

When you join exmox, you’re stepping into a high-velocity environment where data is not just analyzed but turned into systems that directly drive business performance. You will operate at the intersection of data, engineering, and product, solving real-world problems in a space that demands both speed and precision.

We build high-performing consumer products in one of the most competitive industries: mobile gaming. As part of a company on a path of hyper-growth, you will help shape how machine learning becomes a core driver of our innovation, from smarter decision-making to scalable, production-ready intelligence across our platform.

If you’re looking for a role where you only experiment or stay in research, this isn’t it.
As one of the first Machine Learning Engineer (f/m/x) at exmox, you will lay the foundation for how ML is built, deployed, and scaled across the company. You will turn insights into systems, and models into measurable impact.

You work closely with Data Science, Data Engineering, and Product, owning the full ML lifecycle from initial idea through production and continuous improvement, taking end-to-end responsibility and building what does not yet exist, because here impact matters more than process, and if this sounds like the kind of challenge you are looking for, we want to hear from you.

What you’ll own

• Machine learning systems & impact 
  You design, build, and deploy machine learning models that solve real business problems. You focus on production-ready systems that directly influence product performance, user behavior, and revenue, not just offline experiments.

• End-to-end ML lifecycle 
  You take ownership from experimentation to deployment and beyond. You validate models, ship them into production, monitor their performance, and continuously iterate to improve outcomes in dynamic environments.

• Collaboration across data & engineering 
  You work closely with Data Scientists and Analysts to translate insights, metrics, and hypotheses into scalable ML solutions. At the same time, you partner with Data Engineers to ensure robust data pipelines, feature availability, and reliable model deployment.

• ML infrastructure & foundations 
  As one of the first ML engineers, you help define how ML is done at exmox. You establish best practices, tooling, and architecture for model development, deployment, versioning, and monitoring, building the foundation for future scale.

• Translating ambiguity into systems 
  You take loosely defined problems and turn them into structured ML solutions. You make trade-offs, define approaches, and bring clarity where none exists yet.