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AI Research Scientist

JPMorgan Chase & Co.

Madrid

Presencial

EUR 75.000 - 95.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading global financial services firm is seeking an AI Research Scientist - Senior Associate to join their AI Research team in Madrid. The candidate will conduct high-impact research in AI and collaborate with top researchers and engineers, contributing to significant business applications. A PhD in Computer Science or equivalent with strong programming skills in Python is required. This role offers the chance to influence advancements in AI within the financial sector.

Formación

  • PhD in Computer Science or related field.
  • Research publications in prominent AI venues.
  • Strong expertise in heuristic search, planning, or agent-based architectures.

Responsabilidades

  • Conduct end-to-end research typically within specified areas.
  • Collaborate with internal and external researchers.
  • Produce outputs that lead to high-impact business applications.

Conocimientos

Expertise in heuristic search
Proficiency with rapid prototyping
Strong programming skills in Python

Educación

PhD in Computer Science
MS in Computer Science with commercial experience

Herramientas

Python
Java
C++
Descripción del empleo
Overview

AI Research Scientist - Senior Associate Job Description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and / or publications in AI / ML conferences and journals. The goal of Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both Morgan and the broader AI community.

Job responsibilities
  • Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning
  • Collaborate with internal and external researchers and with applied engineering teams
  • Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research
  • Produce outputs that lead to high-impact business applications, open source software, patents and / or publications in top AI / ML conferences and journals
  • Participate in relevant top-tier academic conferences to broaden the impact of your contributions
Required qualifications, capabilities, and skills
  • PhD in Computer Science or related field or a MS in Computer Science or related field with commercial experience in the field
  • Research publications in prominent AI venues; conferences, journals
  • Strong expertise in one or more specialized areas of relevance, such as heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation
  • Proficiency with rapid prototyping and disciplined software development processes
  • Expertise in software engineering within collaborative project settings
Preferred qualifications, capabilities, and skills
  • Expertise in synthetic data, generative AI, protecting customer and institutional knowledge (e.g., differential privacy, machine unlearning, membership / reconstruction attacks), LLM alignment and behavior modeling using RL, bandit techniques, watermarking, time-series reasoning and foundational models
  • Extensive programming skills in Python (required), Java or C++
  • Interest in problems related to the financial services domain
About Us

Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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