Machine Learning Engineer
This is Adyen
At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster.
We’re on a mission to help the world’s best businesses grow, and we’re looking for a motivated Machine Learning Engineer to join our team in Amsterdam.
What you'll do
- Research, design, implement, train, and monitor machine learning algorithms for both batch and real-time prediction.
- Tackle a wide range of problems, from on-line learning for optimization decisions to supervised methods for risk patterns, or graph analysis for behavior prediction.
- Develop orchestrated pipelines for analytics and machine learning training.
- Collaborate with MLOps to automate our workflows for experiments, training, and monitoring.
- Innovate on state-of-the-art machine learning algorithms for both merchant and product audiences.
- Stay up-to-date with the latest developments in machine learning and apply what you learn.
Who you are
- You have 5+ years of experience as a machine learning engineer or data scientist.
- You're experienced with the full machine learning model lifecycle in production flows.
- You have hands-on experience building and deploying Deep Learning models.
- You're comfortable with big data frameworks to create the pipelines needed for your models.
- You have a good understanding of software and data engineering practices, along with MLOps principles.
- You know your way around data science, statistics, and machine learning techniques, with a strong grounding in statistical inference, prediction, and causal inference.
- You're familiar with the standard data science toolkit, including (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, or similar MLOps frameworks, and Airflow.
- You have an experimental mindset with a "launch fast and iterate" mentality, and extensive experience designing and running experiments.
- You proactively take the lead on projects, from ideation to deployment, and can clearly communicate complex outcomes to a wide range of stakeholders.
Our Diversity, Equity and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What’s next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
This is a full-time position based in our Amsterdam office, and it requires relocation if you are currently living outside of the Netherlands.
The Adyen Formula
The way we work is guided by the eight principles of the Adyen Formula. Learn more here.
Tech careers
Our engineers are building the first financial technology platform that combines payments, data, and financial services. We’re looking for more talented problem solvers to help us address a unique set of challenges.