Join an Applied Artificial Intelligence and Machine Learning team that takes Generative AI and Machine Learning applications from prototype to production for a Global Banking business. You will work in a collaborative, inclusive environment with opportunities to build technical depth.
As a Senior Associate–Applied Artificial Intelligence / Machine Learning in the Applied Artificial Intelligence and Machine Learning team, you will help solve exciting business challenges for a Global Banking business within a leading global financial institution. You will work with product, business, and engineering partners to turn business problems into AI/ML solutions, balancing accuracy, latency, cost, and risk, and deliver them reliably in a regulated environment. You will apply sound technical judgment to balance business needs with technical constraints, contribute to experimentation and validation, and help productionize scalable and trustworthy solutions. You will also engage in knowledge sharing through enterprise machine learning communities.
Job responsibilities
- Collaborate with an Artificial Intelligence and Machine Learning (AI/ML) team to contribute to projects within a global organization and support an inclusive culture with a growth mindset
- Assist in setting the technical vision and executing strategic roadmaps to drive AI innovation
- Design, build, and iterate on generative AI and machine learning applications
- Evaluate large language model (LLM)-powered applications using curated test sets, metrics, automated and LLM-based scoring, human review, and regression testing, and use the results to drive improvements
- Partner with engineering teams to productionize solutions, and monitor quality, latency, and cost once deployed
- Work with product and business partners to translate requirements into AI/ML specifications, define milestones, and deliver using Agile methodology
- Apply responsible AI practices, including explainability, and meet model risk and governance requirements in a regulated environment
Required qualifications, capabilities, and skills
- Three years of experience developing AI/ML applications, with an advanced degree in Computer Science, Data Science, Statistics, or an equivalent field, or equivalent practical experience
- Hands-on experience building applications with large language models (LLMs), including prompt engineering, context management, and output parsing
- Experience evaluating AI/ML systems, including designing metrics, test sets, and experiments for non-deterministic outputs
- Knowledge of data structures, algorithms, machine learning, data mining, and information retrieval
- Hands-on experience applying classical machine learning (for example, linear models, tree-based ensembles, clustering) and deep learning (for example, neural networks, transformers), including feature engineering, model training, and validation
- Proficiency in Python with hands-on experience in machine learning and deep learning frameworks (PyTorch, scikit-learn) and generative AI ecosystems (Hugging Face, large language model application programming interfaces, LangChain/Google ADK)
- Experience using version control, code review, and testing practices
- Collaboration skills and the ability to communicate effectively with both technical and non-technical audiences
Preferred qualifications, capabilities, and skills
- Experience with agentic patterns, including tool calling, multi-step orchestration, and human-in-the-loop review
- Familiarity with at least one of the following areas: Knowledge Graphs, Computer Vision, Reinforcement Learning, Recommender Systems, or Time Series Analysis
- Experience with Amazon Web Services (AWS) Cloud services
- Experience with large-scale data processing (for example, Spark)
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 UsWe 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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Three years of experience developing AI/ML applications
- Advanced degree in Computer Science, Data Science, Statistics, or an equivalent field, or equivalent practical experience
- Hands-on experience building LLM applications, including prompt engineering, context management, and output parsing
- Experience evaluating AI/ML systems using metrics, test sets, and experiments for nondeterministic outputs
- Knowledge of data structures, algorithms, machine learning, data mining, and information retrieval
- Hands-on experience with classical machine learning and deep learning, including feature engineering, model training, and validation
- Proficiency in Python and hands-on experience with PyTorch, scikit-learn, and generative AI ecosystems
- Experience with version control, code review, and testing practices
- Ability to collaborate and communicate effectively with technical and non-technical audiences
- Experience with agentic patterns, including tool calling, multi-step orchestration, and human-in-the-loop review
- Familiarity with Knowledge Graphs, Computer Vision, Reinforcement Learning, Recommender Systems, or Time Series Analysis
- Experience with AWS Cloud services
- Experience with large-scale data processing such as Spark
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
-
Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
-
Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
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.
Gallery
