Applied Researcher in Artificial Intelligence

Santander USA; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading financial institution in Madrid is seeking an Applied Researcher in Artificial Intelligence to drive innovation in the financial sector. The role involves adapting AI models, building prototypes, and collaborating with diverse teams. Candidates should have strong expertise in AI/ML, Python, and deep learning along with a Master's degree or PhD. Join to contribute to groundbreaking financial technologies and enjoy flexible work arrangements with competitive rewards.

Servicios

Competitive salary with bonuses

Hybrid working model

Access to learning platforms

Childcare support

Gym membership

Formación

• 3-5 years of experience applying AI/ML in real-world systems.
• Strong record of building prototypes that made it into production.
• Familiarity with large-scale datasets and cloud platforms.

Responsabilidades

• Adapt and fine-tune AI models for real-world use cases.
• Build end-to-end prototypes demonstrating AI methods in banking.
• Collaborate with teams to produce scalable AI solutions.

Conocimientos

Deep learning architectures

Large language models

Python

MLOps practices

Problem-solving

Communication skills

Educación

Master’s degree or PhD in Computer Science or related fields

Herramientas

PyTorch

TensorFlow

AWS

Docker

Descripción del empleo

Overview

Applied Researcher in Artificial Intelligence Country: Spain

Santander is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.

This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

The Difference You Make

Santander AI Labs is looking for an Applied Researcher in Artificial Intelligence based out of MADRID.

At Santander AI Lab, we are building the world’s leading financial AI research hub — a place where science, technology, and impact converge.

Our mission is to redefine the future of banking through frontier AI research. We bring together researchers, engineers, and innovators from across the globe to pioneer breakthroughs in large language models, agentic AI, reinforcement learning, autonomous systems, and responsible AI governance. We create not just incremental improvements, but moonshot innovations that transform how millions of people interact with their money, businesses, and society.

You will join a world-class team with access to proprietary financial datasets, high-performance computing infrastructure, and partnerships with top universities and research institutes worldwide. We actively support publishing in top-tier venues (NeurIPS, ICML, ACL, CVPR, KDD, etc.), collaborations with academia, and global conference participation.

We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:

• Adapt and fine-tune cutting-edge AI models (LLMs, NLP, IR, CV, multi-agent RL) to Santander’s real-world use cases.
• Build end-to-end prototypes that demonstrate the feasibility of frontier AI methods in banking applications (fraud detection, credit risk, digital onboarding, autonomous finance).
• Collaborate with Research Scientists to operationalize novel algorithms into production-ready pipelines.
• Work closely with ML engineers, product managers, and business stakeholders to ensure research transitions into products and services at global scale.
• Evaluate trade-offs between accuracy, efficiency, interpretability, and compliance, ensuring alignment with Responsible AI principles.
• Stay updated on recent AI advances and rapidly integrate breakthroughs into experimental prototypes.
• Contribute to open-source initiatives and represent Santander AI Lab in industry and academic forums.

What You’ll Bring

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We’re enabling teams to go beyond by valuing who they are and empowering what they bring.

The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Professional Experience

• At least 3–5 years of experience applying AI/ML in real-world systems, preferably in research-to-production pipelines (Required).
• Strong track record of building prototypes and models that made it into production or influenced product decisions (Required).
• Familiarity with large-scale datasets, cloud platforms, and MLOps practices (Required).
• Experience working in AI labs, R&D teams, or advanced analytics units (Required).
• Background in financial data, risk modeling, fraud detection, or recommendation systems (Preferred).

Education

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering, or related fields. (Required).
• Postdoctoral research or equivalent industrial research experience in AI will be valued (Preferred).

Languages

• Fluent English, both written and spoken (Required).

Hard Skills

• Strong applied knowledge of deep learning architectures (transformers, CNNs, GNNs, RL) (Required).
• Hands-on experience with large language models (LLMs), fine-tuning, and prompt engineering (Required).
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX) (Required).
• Experience with cloud services (AWS, Azure, GCP) and MLOps pipelines (Docker, Kubernetes, MLflow) (Required).
• Ability to adapt and scale research models into enterprise systems (Required).
• Understanding of Responsible AI and compliance requirements in applied AI (Required).

Soft Skills

• Creativity. Research mindset. Passion for pushing the boundaries of AI technology will be highly valued.
• Excellent problem-solving and communication skills, able to work across research and product teams.

We Value Your Impact

Your contribution matters, and it’s recognized. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.

• We’re enabling our teams to go beyond through global opportunities and broad career paths.
• Flexibility that works. Enjoy a hybrid working model—some days remote, some days onsite with your team—along with flexible hours.
• Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (santanderopenacademy.com).
• Competitive rewards. Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.
• Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
• Your health is our priority. Through BeHealthy, our global wellness programme, we promote holistic wellbeing.
• We know family is everything. That’s why we offer childcare support and family-friendly programmes tailored to each life stage.
• Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
• Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. And that’s only the beginning—we’ll tell you more when you join!

We’re here to keep you motivated, help you reach your goals, and celebrate your progress, every step of the way.

Local Compliance

Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.

What to Do Next

If this sounds like a role you are interested in, then please apply.

READY TO TAKE THE NEXT STEP IN YOUR JOURNEY?