Staff Engineer, Adyen
Machine Learning
Payments platform built to grow businesses
Be an early applicant
Payments platform built to grow businesses
1001+ employees
Be an early applicant
1001+ employees
Company mission
Adyen's mission is to make payments choices easy for merchants.
Role
Who you are
- We are seeking a highly skilled and enthusiastic Staff Engineer with a strong background in Software Engineering and hands-on experience in Machine Learning (ML) applications
- You are someone who is curious about new technologies, eager to learn, and passionate about using technology as a practical tool to drive meaningful business impact. You enjoy solving complex problems and thrive in environments where innovation, continuous learning, and collaboration are key
- At least 10-12 years of extensive industry experience in Software Engineering and Machine learning, including system design, architecture, and development
- Experience with scalable, reliable and low latency systems
- Proven experience building, deploying, and scaling Machine Learning applications in production environments
- Strong programming skills in languages such as Python and Java
- Experience working with and using SQL and NoSQL Databases
- Knowledge of ML frameworks and platforms like PyTorch
- Deep curiosity and drive to continually learn new technologies and techniques
- Familiarity with data engineering concepts, big data tools (Spark, Kafka), and scalable data architectures
- Passion for applying technology to solve real business problems in a pragmatic and impactful way
- A good product sense and the ability to understand how research can translate into valuable applications
- Excellent communication skills and a collaborative mindset
- We are looking for individuals who are eager to stay connected to the edge of innovation while ensuring we deliver practical value to our global platform
What the job involves
- In this role, you will play a critical part in designing, building, and scaling systems that leverage ML to solve real-world business challenges
- Adyen is building out its capabilities in data-driven risk management to combat financial crime across its platform. We operate at a massive global scale, enabling businesses around the world to accept payments, issue cards, and embed financial products, helping millions of business owners around the globe do business with less friction
- While we have foundational elements in place, we have recently shifted our strategy to take a more holistic approach to proactively detect and mitigate financial crime
- Design and develop robust, scalable software systems that integrate Machine Learning models into production environments
- Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and translate them into technical solutions
- Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges
- Mentor and guide junior engineers and peers through technical leadership and knowledge sharing
- Advocate for best practices in software engineering, ML operations (MLOps), and system architecture
- Continuously learn and stay up-to-date with advancements in software engineering, infrastructure, and AI technologies
- Lead technical design discussions and contribute to the strategic direction of the technology roadmap
- Close cross functional collaboration with different, non-technical functions like Account Management, Compliance, Operations etc
- Day to day we work with Java, Postgres, Cassandra, Kafka, RabbitMQ, Big Data Platform, Machine Learning to equip ourselves with the right tools
- This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges
- You’ll have direct access to massive global datasets (e.g. payments, identity data) and the ability to see your work have an immediate impact at scale
- We offer an environment of ownership and speed, where a focused research team can make a significant difference
- You will be at the forefront of bridging AI and fintech, shaping how these two critical areas intersect
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
$58.8m
GROWTH EQUITY VC
Dec 2014
$250m
SERIES B
Total funding: $327.7m
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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