AI/ML Software Engineer II

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
26 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $169k
$108k most similar roles pay here $212k

This listing doesn't post a salary. Most similar roles pay $142,125–$196,187.

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 · AI/ML Software Engineer II

As an AI/ML Software Engineer II within the Business Banking team, you will design and deliver trusted, market-leading AI technology products while ensuring security, stability, and scalability across various technical domains. You will define the AI-driven validation roadmap, architect end-to-end AI checks into campaign workflows, and build models to enhance final reads using external signals and trend analysis. Your daily work involves automating quality metrics, integrating with upstream and downstream systems, and partnering with legal and compliance teams to operationalize capabilities. The role requires expertise in Python, TypeScript, Streamlit, and UI design, alongside a strong background in Natural Language Processing, Large Language Models, and deep learning frameworks like TensorFlow or PyTorch. You will also utilize AWS tools such as SageMaker and EKS to deploy models while solving complex problems in recommendation systems and marketing campaign testing.

What you'll do

  • Define the AI-driven validation roadmap across Business Banking.
  • Architect and embed end-to-end AI checks into campaign authoring and execution workflows.
  • Build AI/ML models to generate actionable recommendations using external signals and trend analysis.
  • Automate quality metrics and evolve the learning agenda using internal and external benchmarks.
  • Provide executive-ready insights and status updates on the portfolio roadmap and key learnings.
  • Integrate with upstream and downstream systems to ensure seamless tooling and support transformation goals.
  • Champion "quality-as-a-service" to prevent errors and drive continuous improvement in validation processes.

What we're looking for

  • Formal training or certification in Software Engineering concepts and 1+ years of applied experience.
  • Experience with Gen AI builds, Agents, and MCP.
  • Proficiency in programming languages including Python (intermediate level required), TypeScript, Streamlit, or UI design.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Hands-on experience with machine learning and deep learning methods.
  • Proficiency in AI and machine learning frameworks such as TensorFlow or PyTorch.
  • Ability to design and implement complex algorithms for recommendation systems and trend analysis.
  • Experience with building and deploying ML models on cloud platforms like AWS, SageMaker, or EKS (preferred).

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