AI/ML Lead Software Engineer

Testing Site - JPMC; New York (NY); On-site; USD 150,000 - 260,000; Full time

Job summary

JPMorgan Chase, a leading global financial institution, seeks an AI/ML Engineering lead in its Business Banking division. You will apply advanced machine learning to complex tasks like NLP and document screening, and define patterns to guide the team's approach.

You will develop state-of-the-art ML models and lead cross-functional teams, driving production-ready solutions while aligning with business requirements and regulatory expectations.

Qualifications

• Formal training or certification in software engineering with 5+ years ML experience.
• Strong understanding of NLP concepts including transformer architectures and knowledge distillation.
• Experience with classical ML techniques: classification, clustering, optimization, cross-validation, data wrangling, feature selection/extraction.
• Proficient in automation and continuous delivery methods.
• Scientific thinking with ability to work independently and in collaborative teams.
• Excellent written and spoken communication skills.
• Proficient across the Software Development Life Cycle.
• Strong grasp of Agile methods, CI/CD, application resiliency, and security.
• Background in CS/Engineering/Math or related fields and tech discipline expertise.

Responsibilities

• Develop state-of-the-art ML models for NLP, speech recognition, analytics, or recommender systems.
• Define and extend ML strategies for various banking problems.
• Provide guidance to software engineers on daily tasks and activities.
• Set guidance and expectations for team output, practices and collaboration.
• Anticipate dependencies with other teams to deliver aligned solutions.
• Collaborate with Business, Technology, PM, Legal, Compliance, Strategy, and Business Management to productionize solutions.
• Learn about supported businesses to drive practical and successful ML solutions.

Skills

Machine Learning

Natural Language Processing

Team Leadership

Communication

CI/CD

Software Engineering Fundamentals

Automation

Education

Degree in Computer Science/Engineering/Math

Tools

Python

Transformer Models

Knowledge Distillation

CI/CD Pipelines

Job description

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a AI/ML Engineering lead at JPMorgan Chase within the Business Banking , you will be responsible for applying advanced machine learning techniques to intricate task such as natural language processing, document screening and define the pattern to be adopted by the team.

Job responsibilities

• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, or recommendation systems
• Choosing, extending, and innovating ML strategies for various banking problems
• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Learning about and understanding our supported businesses in order to drive practical and successful solutions

Required qualifications, capabilities, and skills

• Formal training or certification in Software Engineering concepts and 5+ years applied experience and hand-on industry experience in Machine Learning.
• Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation.
• Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
• Proficient in automation and continuous delivery methods
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication skills
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

• Hands-on experience with virtual assistant model development and optimization
• Familiarity with continuous integration models and unit test development
• Experience with A/B experimentation and data/metric-driven product development