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Artificial Intelligence Research Director - Executive Director

JPMorganChase · New York, NY · 5 days ago
On-siteInformation TechnologyFull-time

About the role

JPMorganChase AI Research is a global team dedicated to developing novel AI capabilities and translating breakthroughs into deployed solutions. The team works on a variety of AI/ML techniques and collaborates with internal data scientists, applied engineering teams, and stakeholders across different businesses.

Responsibilities

  • Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses.
  • Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
  • Contribute to high-impact business applications, reusable assets and products, and research initiatives.
  • Provide thought leadership on internal and external forums through white papers, publications and presentations.
  • Own a portfolio of capabilities, drive strategic directions and prioritization within the portfolio including business stakeholder engagement, development of relevant reusable capabilities or products, and initiation of new research initiatives that can drive business impact.

Requirements

  • PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 5+ years of relevant work experience.
  • Research publications in top-tier AI/ML venues (e.g., conferences, journals).
  • Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise.
  • PRACTICAL EXPERIENCE WITH STATISTICAL DATA ANALYSIS, EXPERIMENTAL DESIGN AND CREATION OF MEANINGFUL BENCHMARKS AND METRICS FOR EVALUATION.
  • EFFECTIVE VERBAL AND WRITTEN COMMUNICATION SKILLS WITH THE ABILITY TO ADDRESS BOTH TECHNICAL AND BUSINESS AUDIENCES.
  • PRACTICAL SOFTWARE DEVELOPMENT EXPERIENCE IN COLLABORATIVE PROJECT SETTINGS SUCH AS OPEN-SOURCE PROJECTS OR INDUSTRY EXPERIENCE.
  • ABILITY TO DELIVER MODULAR, OPTIMIZED, HIGH-Quality PYTHON CODE WITH TESTS.
  • PROVEN ABILITY TO TRANSLATE BUSINESS REQUIREMENTS INTO TECHNICAL PROBLEM FORMATIONS AND DELIVER NOVEL SOLUTIONS INTO PRODUCTION.
  • MOTIVATED TO MAKE AN IMPACT ON PROBLEMS IN THE FINANCIAL SERVICES DOMAIN.
  • CURIOUSITY, CREATIVITY, RESOURCEFULNESS, AND A COLLABORATIVE SPIRIT.

Preferred Qualifications

  • PRACTICAL EXPERIENCE WITH ML LIBRARIES (E.G., PYTORCH, TENSORFLOW/KERAS, HUGGINGFACE TRANSFORMERS ETC.) AND AGENT FRAMEWORKS (E.G., LANGGRAPH, GOOGLE ADK, ETC.).
  • FAMILIARITY WITH COMMON FORMAL VERIFICATION TOOLS AND LANGUAGES (E.G., COQ/ISABELLE/LEAN, TLA+, ALLOY, Z3, PDDL).

Skills

  • Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise.
  • Ability to deliver modular, optimized, high-quality Python code with tests.
  • Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production.
  • Motivated to make an impact on problems in the financial services domain.
  • Curiosity, creativity, resourcefulness, and a collaborative spirit.

Benefits

Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Pay

Base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions.

Schedule

Flexible work schedule to accommodate the needs of the position and the individual.

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