Machine Learning Scientist, Adyen
3+ days a week in office
Payments platform built to grow businesses
Open for applications
Payments platform built to grow businesses
1001+ employees
Open for applications
3+ days a week in office
1001+ employees
Company mission
Adyen's mission is to make payments choices easy for merchants.
Role
Who you are
- You have 4+ years of experience as a Machine Learning Engineer or Data Scientist (Anomaly Detection, Time-Series, or Signal Processing)
- You have an Engineering-First mindset. You treat ML code like production code and are comfortable managing your own deployments and infrastructure
- You are proficient in Python and Big Data frameworks (PySpark, Airflow, Hadoop, Kafka)
- Experience with SparkStreaming/Flink, Docker and Kubernetes is a plus
- You have a strong interest in Causal Inference - you want to prove why something happened, not just that it happened
- You are a pragmatic problem solver. You prioritize business impact and reliability over model complexity, choosing the right tool for the job to ship solutions that work today
- You are proactively taking the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes to a wide range of audiences
- You can confidently work in a product team with demanding stakeholders, are able to communicate effectively and have the ability to drive the team’s roadmap, alongside the product and engineering leadership of the team
What the job involves
- At Adyen, we are the financial technology platform of choice for the world’s leading companies. The Insights team is at the core of this platform, providing the world’s largest merchants with the data and analytics they need to optimize their payment performance. Within this, our Proactive Diagnostics initiative acts as a proactive guard for merchant revenue, closing the loop between detecting an anomaly and providing a clear path to rectification
- We operate at the intersection of Big Data and actionable intelligence. By leveraging Adyen’s global payment flow, we apply advanced statistical models and Causal Inference to not only detect performance drops but to explain the "why" behind them. We are looking for a Machine Learning Engineer to help us architect the next generation of our diagnostic engine
- Build – Design and scale production-ready ML models to identify anomalies across millions of traffic permutations. You will own the end-to-end lifecycle, from feature engineering within our Big Data ecosystem (Spark/SparkStreaming) to building the internal infrastructure—such as our FastAPI-based labeling service on Kubernetes—needed to generate high-quality ground truth for supervised learning
- Discover – Move beyond simple detection to build automated root-cause analysis. You will develop logic that translates complex statistical signals into actionable recommendations, helping merchants understand exactly how to optimize their setup
- Scale – Transition our diagnostic capabilities from daily reporting to near-real-time velocity. You will build the observability layer to track model drift and integrity, ensuring our signals remain the "Gold Standard" for the industry
- Collaborate – Work at the heart of a product-driven team. You will sit close to our users, gathering continuous feedback to ensure our technical solutions solve real-world business friction and drive product adoption
Application process
- 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
Our take
Adyen has been one of the most successful businesses in Europe over the last decade. When it went public in 2018 at a valuation of €7bn, it raised over €1bn and its share price popped on the first day, resulting in a valuation of €14bn. Its valuation has continued to climb by the billions.
Adyen competes with large players like PayPal, as well as outsized startups like Stripe, to power payments and provide other infrastructure to conduct digital transactions. Disrupters in the field have been buoyed by a strong rise in eCommerce activity, where some or all of a transaction by a customer is made either online or by mobile.
Adyen has been one of the companies riding the wave by helping to reduce the friction between a company choosing to take payments online, and actually being able to do it. That can take multiple steps and agreements across numerous countries — Adyen’s pitch is that it essentially handles all of it in the backend as a service for its users. Notable partners have included Autocanteen, a touchless self-checkout solution for the hospitality industry, and BILL, a small business-focused fintech platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2015
$57.4m
GROWTH EQUITY VC
Dec 2014
$250m
SERIES B
Total funding: $325.7m
Company benefits
- Global exchange program
- Weekly happy hour
- Delicious healthy lunches
- Phantom share package
- Yearly trip to Amsterdam
- Paid holidays
- Work from home opportunities
Company HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Leadership
Pieter Van Der Does
(Co-Founder & CEO)Previously Chief Commercial Officer at Bibit (payments company) before co-founding Adyen in 2006.
Salary benchmarks
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