Senior Machine Learning Engineer – Digital Intelligence

Posted Yesterday
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Palo Alto, CA, USA
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Design, prototype, and productionize large language models and architectures for heterogeneous financial data. Implement pre-training objectives, optimize training/serving at scale, mentor engineers, and collaborate across teams to deliver reliable, secure, and interpretable ML systems.
Summary Generated by Built In

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.”

 

About Us

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 for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team
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.

Skills Required

  • PhD with 2+ years OR Master's with 4+ years in Computer Science with training/work experience in Machine Learning, LLM/NLP or similar fields.
  • Deep LLM and Transformer expertise including attention mechanisms and positional encodings such as RoPE; handle multi-modal inputs.
  • PyTorch proficiency at scale with hands-on experience in distributed training frameworks including FSDP and DeepSpeed, and practical memory optimization techniques.
  • Foundation model training experience: pre-training from scratch and designing tokens and vocabularies for tabular, temporal, and graphical data.
  • Strong software engineering skills to build robust, production-quality systems that perform reliably at scale.
  • Prior experience with financial data and recommendation systems.

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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