Applied AI/ML Manager of Software Engineering

Testing Site - JPMC; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase's Business Banking division seeks a Manager of AI/ML Engineering to lead multiple teams and apply advanced ML to NLP, document screening, and production delivery.

You will guide software engineers, define ML strategy, and collaborate with Business, Technology, Product, Legal, and Compliance to deploy solutions into production while gaining deep knowledge of supported businesses.

Qualifications

• Formal training or certification in Software Engineering concepts and 5+ years applied experience in Machine Learning.
• Strong understanding of NLP concepts including transformer models and knowledge distillation.
• Experience with classical ML techniques: classification, clustering, optimization, cross-validation, data wrangling, feature selection/extraction.
• Experience leading technology projects and managing technologists.
• Proficiency in automation and continuous delivery methods.
• Strong written and spoken communication skills; ability to work independently and in teams.
• Solid understanding of SDLC and agile practices (CI/CD, resiliency, security).
• Background in CS, Engineering, Mathematics, or related field.

Responsibilities

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

Skills

NLP concepts

Transformer architecture

Knowledge distillation

Automation

CI/CD

Agile methodologies

Software Development Life Cycle

Team collaboration

Machine Learning

Communication

Education

Formal training in Software Engineering

Experience in Machine Learning

Field: CS/Engineering/Math

Tools

CI/CD tools

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 Manager of AI/ML Engineering team at JPMorgan Chase within the Business Banking , youlead our dynamic teams and will be responsible for applying advanced machine learning techniques to intricate task such as natural language processing, document screening and manage day-to-day implementation activities by identifying and escalating issues

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
• Experience leading technology projects
• Experience managing technologists
• 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