Staff Machine Learning Engineer
On-site
Full Time
#Data Science
#Machine Learning
#Gaming
#Python
#PyTorch
#XGBoost
#SQL
#Airflow
#Sagemaker
#Large Language Models
#MLFlow
#AWS
We are looking for a talented professional to join our Applied ML and Research team. We operate at the intersection of data science and gaming, building advanced machine learning solutions that support our online platforms. Our systems handle data for hundreds of thousands of daily users, and your contributions will directly improve our security, user experience, and overall decision-making processes. We are based in the Netherlands and are excited to find someone who is ready to make a significant impact on our technical roadmap.
What is this role?
We are hiring a Staff Machine Learning Engineer for a full-time, on-site position. This is a lead-level role designed for an experienced professional who enjoys balancing deep technical work with strategic planning. You will be a key figure in our organization, helping us define how we use machine learning to solve complex challenges while mentoring those around you.
What will you do?
- You will identify high-impact opportunities for machine learning and work with stakeholders to prioritize these initiatives across our gaming platforms.
- You will manage the entire machine learning lifecycle, which includes everything from initial data exploration and feature engineering to the final deployment and evaluation of your models.
- You will provide technical leadership by setting the direction for our ML projects, ensuring that we follow best practices while staying aligned with our broader business goals.
What makes you a great fit?
To be successful in this role, you should have a strong background in data science and machine learning, along with the following qualifications:
- A Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science.
- At least 7 years of professional experience in building and deploying machine learning models at scale.
- Expertise in Python, including libraries like PyTorch and XGBoost, as well as proficiency in SQL.
- Experience working with orchestration tools like Airflow or SageMaker.
- A solid understanding of machine learning fundamentals, including recent experience with Large Language Models.
- Excellent communication skills in English, with the ability to explain complex technical concepts to both technical and non-technical team members.
- A proven history of leading cross-functional initiatives and mentoring other engineers.
We also value experience with MLFlow and AWS services, as well as any contributions you have made to open-source projects or academic publications.
What's in it for you?
Joining our team means you will be working on large-scale systems that impact a massive user base. You will have the opportunity to shape the technical culture of our company and work alongside a group of passionate engineers in a collaborative environment. We offer a challenging and rewarding role where your expertise in machine learning will be at the forefront of our gaming technology.
