VP Engineering, ML / AI

Posted 4 Days Ago
Easy Apply
Be an Early Applicant
Amsterdam
Senior level
Fintech • Payments • Financial Services
Adyen is the financial technology platform of choice for leading companies across the globe.
The Role
The VP Engineering for ML/AI will lead and mentor a diverse team, oversee the delivery and reliability of the ML platform, manage live production systems, and drive innovative techniques in machine learning. They are charged with ensuring alignment with company goals and fostering a high-performance culture within the engineering teams.
Summary Generated by Built In

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.

VP Engineering - Machine Learning / AI

We are seeking an experienced VP Engineering focused on Machine Learning to join our dynamic global data organization. The ML/AI team is composed of around 100 skilled engineers and data scientists, and the VP will oversee multiple teams across platform risk, payments performance engineering, data platform development and MLOps, and payments automation optimization.

Adyen is increasingly relying on machine learning and AI for production flows, including real-time transaction processing, transaction monitoring to detect financial crime (AML/terrorism), operational efficiency (including GenAI), and the engineering and infrastructure to support that. We are willing to expand the depth and breadth of our usage of ML/AI. 

What you'll do:

  • Leadership and management: Lead and mentor a diverse team of engineering leaders, focusing on performance management and talent recognition. Ensure alignment with company goals and foster a high-performance culture.
  • Technical excellence: Oversee the ML platform's delivery of change and reliability. 
  • Production systems: Manage and improve live production systems that make critical decisions and impact significant revenue streams at a large scale. Ensure robustness, scalability, and efficiency in all deployed solutions.
  • Innovation and implementation: Drive the adoption of innovative techniques and methodologies, ensuring our ML practices remain industry-leading.  Lead our PhD programs and keep the team updated on industry advancements.

Who you are:

  • Proven expertise in ML/AI: You have a solid track record in the ML/AI/GenAI/data science field, with professional experience that includes significant, tangible impacts. You've built or been part of teams that have created widely recognized frameworks, products, formulas, or algorithms. Ideally, you have public contributions in books, blogs, open-source, or professional projects.
  • Production experience: Extensive experience working in production-heavy environments at scale is essential. We value leadership experience in large companies, startups, scaleups, and open-source communities. Your background in software and infrastructure engineering is critical.
  • Startup/founder mentality: You possess a solid drive to get things done, with a determination to push boundaries and achieve results. Your entrepreneurial mindset is critical to driving innovation and efficiency.
  • Research curiosity: You are keenly interested in staying connected with the latest ML/AI research. Your curiosity and engagement with ongoing research in academia or big tech drive your approach. In the long term, you will integrate cutting-edge research into our ML/AI initiatives.
  • Leadership experience: Demonstrated experience leading large, highly skilled teams, particularly leaders within those teams. Your ability to inspire, guide, and manage a sizable organization is essential.

Other Job Details

  • Most of the ML/AI team is based out of Amsterdam. We have a hybrid workplace and value in-person collaboration; we do not offer remote-only roles.
  • This role requires domestic and international travel.

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.

Top Skills

AI
Machine Learning

What the Team is Saying

Isabelle
Sebastian
Angel
Mika
The Company
HQ: Amsterdam
4,196 Employees
Hybrid Workplace
Year Founded: 2006

What We Do

By providing end-to-end payments capabilities, data-driven insights, and financial products in a single solution, Adyen helps businesses achieve their ambitions faster.

Our team members are motivated individuals from different cultures that help each other do remarkable things every day and across time zones. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions for businesses all across the world.

With 28 offices across the globe, Adyen serves customers including Meta, Uber, Spotify, Casper, Bonobos and L'Oreal.

Why Work With Us

At Adyen, everything we do is engineered for ambition. We started with payments, at a time when providers offered services based on a patchwork of systems built on outdated infrastructure. Ambition demanded more. So we set off to build a financial technology platform for the modern era, entirely in-house, from the ground up.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Adyen Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Company Office Image
HQAmsterdam, NL
Company Office Image
Singapore
Bengaluru, India
Company Office Image
Chicago
London, GB
Company Office Image
Mexico City, MX
Mumbai, Maharashtra
Company Office Image
New York, NY
Company Office Image
San Francisco, CA
Company Office Image
São José dos Campos, São Paulo
Company Office Image
São Paulo, São Paulo
Sydney, New South Wales
Company Office Image
Toronto, Ontario
Warsaw, PL
Learn more

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account