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2027 Machine Learning Center of Excellence (Quant AI) - Summer Associate

JPMorgan Chase

Palo Alto, CAFull-time / Seasonal$135–155K/yrSeen 1w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$135–155K/yr
Location
Palo Alto, CA
Role Type
Internship
Schedule
Full-time / Seasonal
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Quant AI Summer Associate joins JPMorgan Chase’s Machine Learning Center of Excellence, which partners across the firm to develop and deploy machine learning solutions. The associate will explore research and apply machine learning to the firm’s data, working with technologists, researchers, engineers, and business partners. The summer program begins in June, depending on the academic calendar, and includes project work, mentorship, and speaker series.

Skills & qualifications

RequiredNice to have

Skills

ProgrammingMachine LearningData MiningApplied MathematicsOptimizationStatisticsTensorFlowPyTorchJAXETL PipelinesBatch ProcessingReal-Time ProcessingScientific ThinkingExperiment DesignTraining FrameworksModel Performance MetricsWritten CommunicationVerbal CommunicationIndependent WorkCollaborationQuantitative FinancePortfolio ManagementCPU ArchitectureGPU ArchitectureHigh-Performance ComputingXLA CompilersDistributed Systems

Qualifications

MS or PhD in Quantitative FieldExpected Graduation Dec 2027-Aug 2028

Benefits

Medical Insurance
401(k) Match
Tuition Assistance

Full job description

2027 Machine Learning Center of Excellence (Quant AI) - Summer Associate

Palo Alto, CA, United States

Job Information

  • Job Identification 210803936

  • Job Category Seasonal Employee

  • Business Unit Corporate Sector

  • Posting Date 10/26/2026, 09:32 PM

  • Locations 3203 Hanover St, Palo Alto, CA, 94304, US

  • Apply Before 12/31/2026, 05:00 AM

  • Job Schedule Full time

  • Base Pay/Salary Palo Alto,CA $135,000.00-$155,000.00

Job Description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. As a part of CDAO, The Machine Learning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy Machine Learning Solutions for our most challenging business problems. 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 a Quant AI Summer Associate within the MLCOE, you will be part of a group of technologists, ML researchers and engineers who are passionate about machine learning and scale. This team works closely in exploring cutting-edge research and applying the latest Machine Learning techniques to J.P. Morgan’s unique data assets, collaborating directly with traders, portfolio managers, quants, data scientists and salespeople to drive the data-led transformation of our businesses.

Our Summer Associate Internship Program begins in June, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program. Learn more about our MLCOE team at jpmorgan.com/mlcoe.

Job responsibilities

  • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community

  • Develop state-of-the art machine learning models to solve real-world problems and apply it to different tasks

  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production

Required qualifications, capabilities, and skills

  • Enrolled in a PhD or MS program in Computer Science, Physics, Mathematics, Engineering or related quantitative field with an expected graduation date of December 2027 through August 2028

  • Solid programming skills with C/C++, Python, JAVA or other equivalent languages

  • Deep knowledge in Machine Learning, Data Mining, Applied Mathematics, Optimization, and Statistics

  • Knowledge with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, JAX) and ETL pipelines, both batch and real-time data processing

  • Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals

  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical, and business audiences

  • Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities, and skills

  • Interest in quantitative finance and/or portfolio management

  • Knowledge with CPU, GPU architecture, high-performance computing and XLA compilers

  • Experience in distributed system design and development

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

#MLCOE_jobs

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including 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, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include 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. Additional details about total compensation and benefits will be provided during the hiring process.

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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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.

How this job compares

Set against the 2,108 open Machine Learning jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$135–155K/yr
  • California median$193–283K/yr336 salary ranges
  • US median$150–240K/yr1,501 salary ranges

This range's midpoint, $145K, is 39% below the California median midpoint ($239K) — in the lowest quarter of Machine Learning salary ranges in California.

Openings
Olive Jobs lists 486 open Machine Learning jobs in California and 2,108 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Machine Learning postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (1,588 postings).
Education
786 of the 2,108 open Machine Learning jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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