Adyen Verified

FinTech, Payment Processing, Financial Services

Member of Technical Staff

RemoteRemoteFull TimeStaff$227,500–$401,000 /yrPosted 2 months agoVisa sponsorship available

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Required skills

AI
Generative AI
GenAI
LLMs
Large Language Models
AI agents
foundation models
AI research
scalable code
efficient code

Nice to have

AI-enabled fintech
classical machine learning
conferences
publications
on-premise infrastructure
product sense

Role summary

Adyen is seeking a Member of Technical Staff to join their new AI engineering team in San Francisco. This hands-on role focuses on applying cutting-edge AI research, particularly Generative AI and AI agents, within the financial technology sector. You will implement research papers into production-grade code, optimize AI systems, and contribute to the long-term vision for AI at Adyen. The role requires a strong engineering mindset, experience with AI research, and the ability to translate complex technical concepts. You will also mentor others and collaborate across teams. This is an opportunity to work with massive global datasets and drive innovation at scale.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for global 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. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster.

The Opportunity

Adyen is building a top-tier AI engineering team in San Francisco to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Member of Technical Staff, you will operate with a high degree of autonomy and responsibility, delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually.

What You'll Do:

Innovate and Deploy: Drive the execution of Adyen's AI strategy, focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance. This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows, human-in-the-loop for integrity risk, and development of foundation models. For instance, you might contribute to initiatives like the Data Agent Benchmark for Multi-step Reasoning (DABStep), which evaluates AI agents on real-world data analysis tasks, including those from the financial sector.

Build Production-grade Applications: Bridge the gap between cutting-edge AI research and production by implementing research papers into robust, scalable, and production-ready code. Reduce complexity and dependencies across teams by championing engineering, scientific alignment and setting high quality standards.

Optimize and Scale: Contribute to defining the long-term vision for AI at Adyen, specifically how AI will interact with humans and finance, including consumers, merchants, and financial institutions. This also includes understanding regulation and advocating for safe innovation in the field.

Think Outside the Box: Drive innovation by challenging the status quo, introducing transformative ideas and implementing creative solutions to solve real-world problems. Carry out flexible, value-driven assignments, proactively unblocking teams to maximize organizational impact and drive strategic initiatives.

Force Multiplier: Provide mentorship and horizontal sponsorship across the organization, fostering collaboration to share knowledge and best practices, and cultivating a culture of continuous improvement. This includes deeply engaging them in problem-solving processes and guiding them through execution, fostering their growth through hands-on involvement.

Team Player: Actively pair with other engineering teams to solve deep-rooted technical challenges and be fully capable of being hands-on with the code, whether creating proof-of-concepts or fixing critical performance issues.

Learn and Lead: Connect with the broader AI community (including startups, VCs, and AI labs) to stay informed of the latest advancements and identify potential partnership opportunities.

Who You Are:

You are consistently tuned into the scientific AI research community and have a strong understanding of the latest SOTA advancements.

You have significant experience and a strong understanding of Generative AI (GenAI) and Large Language Models (LLMs).

You demonstrate a strong engineering mindset with a track record of writing clean, efficient, and scalable code suitable for production environments.

You have demonstrated experience taking cutting-edge AI research papers and implementing them into production-quality code.

You demonstrate the ability to think critically and deliver simple and elegant solutions to complex, cross-team problems, influencing strategic direction and fostering innovation across the organization.

You excel at translating complex technical concepts into clear, understandable terms for diverse audiences, including engineers, executives, and during public events. You adapt your communication style to effectively engage with diverse audiences.

You thrive in leveraging empathy, influence, negotiation, relationship building, and conflict resolution to foster strong, trust-based collaborations.

Nice to Haves:

A strong product sense and the ability to identify impactful AI use cases.

Experience in AI-enabled fintech companies.

Familiarity with classical machine learning or concepts.

Experience with external visibility activities such as conferences and publications.

Experience working with on-premise infrastructure.

Why Adyen?

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 team's 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. We are looking for individuals who are eager to stay connected to the edge of AI innovation while ensuring we deliver practical value to our global platform. You will also be a key member of the San Francisco AI research team, playing a crucial role in its growth and direction.

While this is a San Francisco-based role, we recognize that global mobility matters—especially for candidates navigating complex situations. Adyen has deep roots in Europe and a strong global presence, and we’re open to future relocation conversations to our offices in Amsterdam or Madrid if that better supports your personal or professional goals in the future. Our aim is to build a lasting foundation for you at Adyen—starting in San Francisco, but with the flexibility to adapt as life evolves.

The annual base salary range for this role is $227,500 - $401,000, plus RSUs; to learn more about our compensation philosophy, please click here. This position is based out of the San Francisco office.

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.

San Francisco

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Sample Adyen interview questions

1
Design a dynamic newsfeed system for social networking platforms.
system designmedium
2
Design a system for real-time traffic monitoring and routing.
system designmedium
3
Design a mass email distribution platform.
system designmedium
4
Design a food delivery system like DoorDash.
system designmedium
5
Build a system for anomaly detection in real-time metrics.
system designmedium

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