Join our team as a Machine Learning Software Engineer and play a pivotal role in shaping the future of Machine Learning and AI solutions within the Consumer & Community Banking sector at JPMorgan Chase.

As a Machine Learning Software Engineer at JPMorgan Chase within the Consumer & Community Banking, Operations team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Adds to team culture of diversity, equity, inclusion, and respect
• Develop and implement machine learing models to solve complex buiness problems and enhance ML-driven applications   
• Optimize machine learning models for performance and scalability leveraging cloud based resources
• Demonstrate self-promote and ability to continuosly learn and stay updated with latest AI and machine learning advancements
• Troubleshoot and debug machine learning related issues 
• Initiate and contribute to AI strategy
• Be the technical liaison between business, product, data scientists and engineers
• Be a part of our innovation and transformation roadmap 

Required qualifications, capabilities, and skills

      •   Formal training or certification on software engineering concepts and 3+ years of applied experience
      •   Hands-on practical experience delivering system design, application development, testing, and operational stability
      •   Advanced in one or more programming language(s)     
      •   Solid experience with Python, SQL, CI/CD pipeline, Github, AWS or Azure or GCP required
      •   Proven track record in developing machine learning models at scale from inception to business impact on a cloud platform
      •   Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, neural networks and reinforcement learning
      •   Hands-on experience in optimizing LLM prompts
      •   Strong end-to-end working knowledge on how a machine learning product is built
      •   Familiarity with MLOPS and components in MLOPS ecosystem
      •   Good understanding of agile methodologies
      •   Excellent communication and presentation skills


 Preferred qualifications, capabilities, and skills

•   In-depth knowledge of the financial services industry and their IT systems
•   Practical AWS or Azure cloud native experience
•   Experience in data streaming tools such as Kafka
•   Experience with Generative AI and LLM’s

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, discretionary incentive compensation which may be 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