Scientist Responsible Ai - Cdaio

Experteer Overview In this role you will drive Santander’s Responsible AI initiatives within the DAISci group, translating research into production-ready, safe and trustworthy AI systems.You collaborate with engineering, governance and product teams to implement AI principles across the product lifecycle.You’ll advance methods in interpretability, robustness, and safety while mentoring peers and contributing to the research agenda.This is your chance to shape responsible AI at scale in a leading financial institution.Compensaciones / Beneficios* Develop and operationalize Santander’s AI principles to build safe, trusted AI across design, deployment and monitoring* Advance responsible AI methodologies, interpretability, robustness, and alignment strategies for scalable systems* Collaborate with engineering, validation, governance, and product teams and contribute to research publications* Translate research into production by implementing bias detection/mitigation, explainability, and safety guardrails* Mentor peers to strengthen organizational expertise in responsible AI systems* Explore and apply trustworthy AI approaches and contribute to the research agendaResponsabilidades* Advanced degree (PhD or MSc) in relevant fields with specialization in Responsible AI or related areas* Proven track record in high-impact AI/ML research, patents, open-source work, or transformative product innovations* Experience translating research into production, including bias detection, interpretability techniques, robustness, model monitoring, and uncertainty estimation* Experience in AI red teaming and vulnerability analysis of conversational AI systems (LLMs)* Experience with benchmarking/evaluation focusing on bias, fairness, and robustness in ML and LLMs* Strong programming skills in Python and frameworks such as PyTorch, TensorFlow, DGL, or PyG* Deep understanding of responsible AI principles, fairness, explainability, privacy, and regulatory alignment* Strong connections with academia and AI research communitiesRequisitos principales* hybrid working model with remote and onsite days* global learning opportunities via SantanderOpen Academy* competitive salary with performance-based bonuses* health and wellness programs (BeHealthy)* childcare support and family-friendly programs* discounts and exclusive offers for Santander employees

• Proven track record in high-impact AI/ML research, patents, open-source work, or transformative product innovations
• Experience translating research into production, including bias detection, interpretability techniques, robustness, model monitoring, and uncertainty estimation
• Experience in AI red teaming and vulnerability analysis of conversational AI systems (LLMs)
• Experience with benchmarking/evaluation focusing on bias, fairness, and robustness in ML and LLMs
• Strong programming skills in Python and frameworks such as PyTorch, TensorFlow, DGL, or PyG
• Deep understanding of responsible AI principles, fairness, explainability, privacy, and regulatory alignment
• Strong connections with academia and AI research communities

• competitive salary with performance-based bonuses
• health and wellness programs (BeHealthy)
• childcare support and family-friendly programs
• discounts and exclusive offers for Santander employees