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Vice President, Machine Learning Scientist

JPMorgan Chase · Palo Alto, Santa Clara County

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Expect deep ML/stats questions, end-to-end case discussions (data quality, bias, monitoring), and behavioral probes on leading complex delivery in regulated environments. Prepare concrete examples of production models and cross-functional influence.

Fit summary

Strong fit if you want applied ML at systemic scale inside a major bank (JPM), prefer Bay Area on-site work, and can operate at VP scope—research quality plus leadership. Thin fit if you need remote flexibility or pure startup-style shipping without bank process.

Day in the role

As a Machine Learning Scientist (VP) at JPMorgan Chase in Palo Alto, a typical day centers on research-grade modeling for bank-scale problems: framing hypotheses with product/risk partners, training and validating models under strict data controls, reviewing experiments with peer scientists, and translating results for technology and business stakeholders. VP scope usually adds roadmap ownership, cross-team prioritization, and rigorous review of production readiness—not pure IC notebook work alone.

Skills to emphasize

No occupation or cert list was provided. For this title, emphasize strong ML fundamentals, experimentation rigor, scalable ML systems, and finance-domain judgment; any certifications are optional and not specified here.

FAQ from this listing

Is this role remote?

The listing marks remote as off; location is Palo Alto, Santa Clara County.

What does JPMorgan Chase do?

It is a large U.S. multinational bank (ticker JPM); see Wikipedia for company background.

Are salary or review scores available here?

No salary figures or Glassdoor/Indeed ratings were in the provided DATA, so none are stated.

Company facts (cached)

Website: jpmorganchase.com

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2026. As the largest of the Big Four banks in America, the firm is considered systemically important by the Financial Stability Board. Its size and scale have often led to enhanced regulatory oversight as well as the development of an internal "Fortress Balance Sheet".

Public cache only — not an employee review.

Role overview (listing rewrite)

Join JPMorgan Chase as a Machine Learning Scientist - Vice President in Palo Alto, Santa Clara County, where you'll lead the design and delivery of advanced machine learning solutions that shape the future of financial services. About the Role This full-time leadership position focuses on developing and scaling production-grade machine learning systems that drive business impact. You will direct the technical strategy and execution of AI initiatives with emphasis on natural language processing, working to solve complex challenges across the organization. What You'll Do Lead the architecture and engineering of scalable machine learning models built for production deployment and reliability Direct natural language processing initiatives that address critical business requirements in financial services Partner with cross-functional teams to translate strategic goals into advanced ML solutions Guide data scientists and engineers through best practices in model development, validation, and deployment Champion innovation in applied artificial intelligence while upholding rigorous standards for performance and security Oversee the complete lifecycle of machine learning projects from exploration through productionization Evaluate emerging methodologies and technologies to keep our ML capabilities competitive What We're Looking For Deep expertise in machine learning with demonstrated strength in natural language processing or adjacent areas Proven success taking machine learning systems from research through large-scale production deployment Strong technical foundation in Python, Scala, Java, or comparable languages used in ML engineering Experience building, training, and optimizing models using modern ML frameworks and cloud platforms Demonstrated leadership ability managing technical teams and influencing product decisions Familiarity with financial services, fintech, or similar domains is valued Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Statistics, or equivalent hands-on experience About JPMorgan Chase JPMorgan Chase is a leading global financial institution where diverse talent and innovation define our success. We believe our people are our greatest asset and remain committed to building an inclusive environment where every team member can contribute and grow. How to Apply Submit your application for this Machine Learning Scientist - Vice President opportunity in Palo Alto, Santa Clara County through the job listing.

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Questions to ask them

Generated for personal interview prep · 2026-07-26 UTC · getajob.ai