This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
This is Gen AI
Adyen seeks a Data Scientist to join our Generative AI team in Madrid. The mission of this team is to create a Generative AI platform enabling various applications with Large Language Models (LLMs). The team focuses on developing platform components for internal deployment and delivering end-to-end solutions for operational efficiency. Through use cases like support case routing and sentiment analysis, they showcase AI's adaptability across different domains within the organization, revolutionizing workflows and decision-making processes. Read more about the work of Gen AI here.
Our mission is to create a Generative AI platform at Adyen, supporting various applications based on LLMs. This involves developing platform-oriented components for deploying an LLM backend within Adyen's GPU cluster in Kubernetes, with features like monitoring, access control, rate limiting, prompt debuging and experiment tracking. We mainly use Open Source frameworks like HuggingFace and LangChain, and models like Llama or Mixtral. This involves developing platform components, but also delivering on some of the most promising use case across different areas within the company.
What you’ll do
You will be responsible for building and interpreting algorithms that power data products at Adyen. Examples are:
- Natural Language Processing techniques and LLMs to tackle text classification, sentiment analysis, summarization of Question-Answering retrieval.
- Real-time anomaly detection based on time-series modeling, including transformer-based architectures of neural networks.
- Active Learning algorithms to facilitate faster and smarter annotation of datasets.
- Supervised and semi-supervised learning methods for inference on risk patterns.
Apart from that, you will:
- Ensure efficient data preprocessing and ETL pipelines to create features that feed machine learning algorithms during training.
- Set up experiments to adjust modeling decisions, perform exploratory analysis, tune hyperparameters, or validate hypothesis selection for the right metric set for each business problem. Report metrics and monitor performance to keep stakeholders updated and ensure a smooth model deployment in production.
- Iterate with merchants and product audiences creating algorithms that power state of the art machine learning based solutions, and be able to explain the reasons behind the executed inference.
Who you are
- You have 4+ years of professional experience as a DS Scientist.
- You have experience developing, training, validating, benchmarking and monitoring machine learning algorithms.
- Extensive knowledge of machine learning algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries: Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, HuggingFace Transformers, Tensorflow or Pytorch.
- Familiarity with version control systems (e.g., Git) and collaboration tools.
- Adherence to coding best practices, including code reusability, documentation, and testing.
- An analytical thinker with a knack for understanding operational requirements and converting them into actionable ML solutions.
- Proactively taking the lead in projects, from ideation to deployment, while ensuring stakeholder collaboration.
- You can communicate complex outcomes with clarity over a wide range of audiences.
- We appreciate a forward-thinking mindset driven by experimentation and iterative development. A solid foundation in statistics and mathematics will serve you well in this role.
Data Positions at Adyen
We know companies handle different definitions for their data-related positions; this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this blogpost to find out!
This role is based out of our Madrid office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
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.
Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
All your information will be kept confidential according to EEO guidelines.
