SHORT DESCRIPTION

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent full stack software engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers & research scientists in building & maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production.

REQUIREMENTS

• Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
• Proven programming/scripting skills with multiple modern programming languages including Python, Golang, TypeScript and similar.
• Experience in professional software development.
• Experience in cloud infrastructure such as AWS, GCP or Azure.
• Experience with software design, problem solving and debugging skills.
• Strong interpersonal skills; able to work independently as well as in a team.
• Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.

• Collaborate with data scientists and research/machine learning engineers to deliver products to production.
• Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).
• Build and maintain scalable infrastructure as code in the cloud (private & public).
• Build frontend interfaces leveraging modern web stacks.
• Rapid prototyping & shorten development cycles for our software and AI/ML products:
• Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization.
• Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors.
• Increase our deployment velocity, including the process for deploying models and data pipelines into production.