JPMorgan Chase→
Software Engineer II - Machine Learning at JPMorgan Chase · Wilmington
Skills
Job Description
Join us as we build innovative technology that improves how customers discover and engage with products and services. You’ll work in a collaborative environment where your ideas matter, your growth is supported, and your work helps deliver meaningful outcomes for customers.
As a Software Engineer II at JPMorganChase within Consumer & Community Banking within the Machine Learning Operations team, you are part of an agile team building end-to-end machine learning solutions that power customer-facing experiences. You will help solve large-scale relevance and ranking problems by engineering scalable features and contributing to machine learning operations practices that enable reliable delivery. You will partner across product and technology teams to build new systems that benefit Chase customers across lines of business.
Job responsibilities
- Build and maintain software services and pipelines that support end-to-end machine learning solutions in production
- Engineer scalable features and feature pipelines used in relevance and ranking models, with a focus on performance and reliability
- Collaborate with machine learning, product, and engineering partners to translate customer and business needs into deliverable solutions
- Implement and improve machine learning operations capabilities, including model packaging, deployment, monitoring, and automation
- Develop and maintain automated tests and quality controls for data, features, and services to reduce risk and improve stability
- Contribute to system observability through logging, metrics, dashboards, and alerting to support operational excellence
- Troubleshoot complex issues across services and pipelines, perform root-cause analysis, and deliver sustainable fixes
- Participate in code reviews and design discussions, helping raise engineering standards and maintainable patterns
- Apply secure development practices and support appropriate access controls and data protection requirements
- Contribute to an inclusive team culture through collaboration, shared ownership, and continuous learning
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- 2+ years of experience building software applications or services used in production
- Proficiency in at least one programming language (for example, Java or Python)
- Experience with data structures, algorithms, and writing efficient, reliable code
- Experience with relational databases and writing queries (for example, SQL) and familiarity with NoSQL concepts
- Experience with automated testing practices (unit and integration) and collaborative code review
- Ability to troubleshoot production issues using logs/metrics and structured root-cause analysis
- Understanding of secure coding practices and basic security concepts (authentication, authorization, input validation)
- Strong communication skills and ability to work effectively in an agile, cross-functional environment
Preferred qualifications, capabilities and skills
- Experience working on relevance, ranking, search, recommendations, or personalization systems
- Experience engineering features and feature pipelines for machine learning use cases
- Familiarity with machine learning operations practices (deployment, monitoring, model/version management)
- Experience with distributed data processing or streaming frameworks
- Experience with cloud-native development and continuous integration/continuous delivery practices
About Company
Company
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