Senior Lead Software Engineer, ML Engineer

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $203k
$140k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $175,875–$231,112.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, ML Engineer

As a Senior Lead Software Engineer - ML Engineer within Corporate & Enterprise Technology, you will serve as a hands-on individual contributor focused on building and delivering scalable, production-grade data and cloud solutions. You will design, develop, and deploy regulatory model applications and modernization initiatives while ensuring high quality through rigorous testing and documentation. Your daily work involves constructing distributed data processing systems and implementing secure, resilient architectures to solve complex technical challenges in the regulatory space. The role requires expert proficiency in PySpark, Python, Databricks, and AWS, with potential experience in C++, Scala, or Java. You will collaborate with cross-functional teams to manage release readiness and infrastructure integration. Additionally, you may contribute to advanced initiatives involving machine learning exposure and the development of LLM-enabled workflows for AI agent orchestration and evaluation.

What you'll do

  • Design, develop, and deploy regulatory model applications and cloud modernization solutions.
  • Build scalable distributed data processing solutions using PySpark, Python, and Databricks.
  • Implement secure and resilient AWS-based architectures and integration patterns.
  • Write high-quality code, automated tests, and technical documentation for production systems.
  • Create technical decks to communicate architecture and delivery plans to stakeholders.
  • Develop and support production-grade systems with a focus on reliability and observability.
  • Build or enable AI agent development including LLM-enabled workflows and guardrails.

What we're looking for

  • 5+ years of software engineering experience and strong computer science fundamentals.
  • Hands-on experience with PySpark, Python, Databricks (DBX), and AWS.
  • Experience building and operating production-grade systems focused on quality, reliability, and observability.
  • Strong communication skills to work in dynamic and ambiguous environments.
  • Experience with C++, Scala, and/or Java is preferred.
  • Data engineering experience and exposure to machine learning are preferred.
  • Preferred experience enabling or building AI agent development including LLM-enabled workflows and guardrails.
  • An advanced degree in Computer Science or a related field is preferred.

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