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.
Coming off a successful year, we're looking for an experienced AI/ML Engineering Manager to lead our team in Madrid and continue the charge.
This is the perfect opportunity for passionate leaders with experience in building and leading high-performing teams that drive business impact.
We have a large impactful team.
The team is truly full-stack: it builds the platform and has experience in both data science and software engineering.
Every ML team in Adyen can research, design, implement, train, deploy, and monitor products based on machine learning, either for batch prediction or real-time.
Responsibilities Inspire, lead, and energize a team of machine learning scientists and engineers.
Maximize their growth and careers.
Strategize on how this new generation of technology should be applied now and over time across the company.
Translate the strategy into a roadmap for the delivery of machine learning-based products, as well as its operationalization in live flows.
Lead by example on technical matters and take appropriate decisions at the technical level.
Work closely with a Product Manager to pick the right problems, envision meaningful approaches, and ship in time.
Mentor, coach, and grow team members, also into leadership positions if the opportunity arises.
Withhold and evolve Adyen's culture in our Madrid tech hub.
Who You Are You have experience leading technical teams in a high-performance tech environment.
You see your role as an enabler for others and create an environment that makes the team deliver.
You have an experimental mindset with a launch fast and iterate mentality.
You have experience developing, training, validating, benchmarking, and monitoring machine learning algorithms in production flows.
You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data.
You have a good understanding of software engineering practices as well as data engineering and MLOps principles.
You are able to communicate complex outcomes with clarity over a wide range of audiences.
Product-oriented mindset.
Experience working with product managers in delivering successful products.
Technologies Extensive knowledge of data science and statistics techniques, toolsets, and algorithms, such as Spark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, MLFlow or similar MLOps frameworks, Airflow.
Knowledge of the GenAI landscape is a great plus.
We believe that anyone with solid fundamentals in ML and Data Science is capable of onboarding themselves to the GenAI landscape quite quickly.
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.
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.
#J-18808-Ljbffr