Senior Machine Learning Engineer – Digital Intelligence
Palo Alto, California, United States · On-site
$171k–$260k/yr
Senior$1.6B raised
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 pay…
Skills: Machine Learning, Large Language Models, Deep Learning, PyTorch, Distributed Training
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Palo Alto, California, United States · On-site
$223k–$325k/yr
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Palo Alto, California, United States · Hybrid
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Palo Alto, California, United States · On-site
$110k–$150k/yr
Mid level$26M raised
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This role is on-site in our San Francisco office (Atherton near Palo Alto) or hybrid in our New York City office. The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics compani…
Skills: Backend Engineering, Full-stack Development, Infrastructure, DevOps, Agent Development
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Senior Machine Learning Engineer – Digital Intelligence
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$171k–$260k/yr
Full-time
postgraduate degree
Comprehensive health care coverage, On-site health and wellness centers, Retirement savings plan, Backup childcare, Tuition reimbursement, Mental health support
Posted 37d ago
~40 hrs/week
Responsibilities
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.
Requirements
Candidates must hold a PhD with 2+ years or a Master’s degree with 4+ years of experience in Computer Science, Machine Learning, or related fields. Strong expertise in LLMs, PyTorch, and distributed training frameworks is required, along with a proven ability to build robust, production-grade systems.
Full job description
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 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.
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms
JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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How much do Data & Analytics jobs in Palo Alto, CA pay?
Based on 498 listings with disclosed salaries, most data & analytics jobs in Palo Alto, CA pay between $114k–$270k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Palo Alto, CA right now?
There are currently 608 open data & analytics positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Palo Alto, CA?
Companies currently hiring include Amazon, Rivian, JPMorganChase, SpaceXAIA, SpaceX, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Palo Alto, CA?
Yes — 280 of the 608 open data & analytics positions offer remote or hybrid work (58 remote, 222 hybrid).
How do I apply for Data & Analytics jobs in Palo Alto, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.