Lead Software Engineer, Machine Learning

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJNew York, NY
Employment
Full-time
Posted
101 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $219k
$164k $274k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $192,037–$246,212.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Machine Learning

As a Lead Software Engineer - Machine Learning within the Commercial and Investment Bank Payments Technology team, you will serve as a core technical contributor in an agile environment. You are responsible for deploying and serving end-to-end machine learning models and maintaining services in a fully cloud-native environment. Your daily work involves developing secure production code, conducting code reviews, and providing technical guidance to teams, contractors, and vendors. You will drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed. Key technical requirements include proficiency in Python, AWS services, and building Agentic workloads using Google ADK and LlamaIndex. You must possess deep knowledge of supervised and unsupervised learning algorithms, OpenAPI compliant APIs, OpenTelemetry, and Oauth2 authentication flows.

What you'll do

  • Deploy and serve end-to-end machine learning models.
  • Deploy and maintain services in a fully cloud-native environment.
  • Develop secure production code and perform code reviews and debugging for others.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices and validation standards.
  • Provide technical guidance and direction to business teams, contractors, and vendors.
  • Influence product design, application functionality, and technical operations processes.
  • Serve as a function-wide subject matter expert in specific technical disciplines.
  • Advocate for firmwide frameworks, tools, and Software Development Life Cycle practices.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages.
  • Advanced knowledge of software applications and technical processes with in-depth knowledge in disciplines like cloud or AI.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and validating AI outputs.
  • Strong understanding of responsible AI use, data sensitivity, and coaching engineers on safe, compliant adoption.
  • Practical cloud native experience.
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

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