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JPMorganChase

engineering opportunity

Senior Machine Learning Engineer – Digital Intelligence

You will research and prototype next-generation architectures for structured and unstructured data while implementing research ideas in production-quality code. Additionally, you will collaborate with cross-functional teams to optimize model performance and ensure scalable, secure solutions for financial workflows.

Palo Alto, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

Consumer & Community Banking division serves our Chase customers through a range

of financial services, including personal banking, credit cards, mortgages, auto

financing, investment advice, small business loans and payment processing. We’re

proud to lead the U.S. in credit card sales and deposit growth and have the

most-used digital solutions – all while ranking first in customer satisfaction.

In this role, you’ll apply strong technical judgment to choose the right

approaches (including modern LLM-based methods where appropriate), evaluate

performance with rigorous metrics, and ensure solutions are reliable, secure,

and scalable in real-world environments. You’ll also contribute to improving

data quality and feedback loops, monitoring models in production, and

continuously iterating to reduce agent effort, shorten resolution times, and

increase consistency and quality across operational workflows.

As a Senior Machine Learning Engineer-Digital intelligence in the Digital

Intelligence team, you will be collaborating with a high-caliber team of

software developers and deep learning experts, you will specialize in large

language modeling, optimization, interpretability, and related algorithms

The ideal candidate brings a strong software engineering foundation combined

with hands-on, zero-to-one machine learning development experience. You will

possess broad expertise in post-training machine learning models — including

quality and performance optimization — alongside deep knowledge of large

language models and modern deep learning techniques. Above all, you will have a

demonstrated ability to operate at the intersection of research and engineering,

turning promising ideas into scalable, real-world products within a fast-paced,

collaborative environment.

Job Responsibilities

* Research and prototype next-generation architectures for structured and

unstructured data

* Develop novel pre-training objectives tailored to financial event sequences

and heterogeneous profile data

* Implement research ideas in production-quality code

* Mentor engineers on ML best practices; translate research advances into

deployable systems

* Optimize training throughput for large data sources

* Collaborate with other teams to design solutions for product use cases.

*

Required qualifications, capabilities, and skills:

-PhD with 2+ years OR Master’s degree with 4+ in Computer Science, with

training and work experience in Machine Learning, LLM/NLP or similar fields.

-Deep LLM and Transformer expertise — strong command of attention mechanisms,

positional encodings such as RoPE, and the ability to handle multi-modal data

inputs effectively.

-PyTorch proficiency at scale — hands-on experience with distributed training

frameworks including FSDP and DeepSpeed, alongside practical memory optimization

techniques.

-Foundation model training — proven experience in pre-training from scratch and

designing tokens and vocabularies for complex, heterogeneous data sources

including tabular, temporal, and graphical formats.

-Strong software engineering skills — ability to build robust,

production-quality systems that perform reliably at scale.

-Prior experience with financial data and recommendation systems.

Preferred qualifications, capabilities, and skills:

* Publication record at top AI/ML venues.

* Experience optimizing serving infrastructure is a plus.

* Experience with post-training LLMs and network optimization algorithms, as

well as interpretability or steering techniques for LLMs.

* Experience working with large-scale compute infrastructure.

* Experience shipping a real-world product, project, or feature.

* Experimental rigor and ablation design when benchmarking LLM optimizations.

* Strong communication and accountability skills, with a collaborative mindset

and strong work ethic.

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.”

Chase is a leading financial services firm, helping nearly half of America’s

households and small businesses achieve their financial goals through a broad

range of financial products. Our mission is to create engaged, lifelong

relationships and put our customers at the heart of everything we do. We also

help small businesses, nonprofits and cities grow, delivering solutions to solve

all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a

range of financial services, including personal banking, credit cards,

mortgages, auto financing, investment advice, small business loans and payment

processing. We’re proud to lead the U.S. in credit card sales and deposit growth

and have the most-used digital solutions – all while ranking first in customer

satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build

competitive advantages for the businesses while providing value and protection

for customers. The team encompasses a variety of disciplines from data

governance and strategy to reporting, data science and machine learning. We have

a strong partnership with Technology, which provides cutting edge data and

analytics infrastructure. The team powers Chase with insights to create the best

customer and business outcomes.

Which skills does this role require?

Machine LearningLarge Language ModelsDeep LearningPyTorchDistributed TrainingFSDPDeepSpeedNLPSoftware EngineeringData QualityModel OptimizationRecommendation SystemsFinancial DataTransformer ArchitecturePythonTransformerRoPEData AnalyticsProduction-quality CodeTabular DataTemporal DataGraphical DataMemory OptimizationPrototyping

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