Applied AI ML Researcher Lead

JPMorgan Chase

Quick summary

Work type
On-site
Location
Palo Alto, CAJersey City, NJ
Salary
$164,350–$260,000 / yr
Posted
18 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $212k
$153k most similar roles pay here $271k

This role pays more than 57% of similar roles. Most pay $177,325–$246,150 — the shaded band above. At the midpoint, this role pays about $212k versus about $212k for comparable roles.

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Applied AI ML Researcher Lead

The Applied Artificial Intelligence and Machine Learning Lead at JPMorgan Chase within the Commercial and Investment Banking division is responsible for architecting autonomous agent systems that can reason, plan, act, and learn to solve critical business problems. This role involves translating high-priority needs into actionable research and engineering plans, establishing rigorous experimentation practices, and mentoring a team of applied AI engineers and researchers. The ideal candidate will have advanced degrees in Computer Science or related fields, extensive experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with cloud-based platforms such as AWS SageMaker. They must also possess strong software engineering skills, experience with distributed computing patterns, and knowledge of financial services domains to ensure solutions are scalable, reliable, and secure.

What you'll do

  • Architect and deliver autonomous agent systems that automate complex operational workflows end-to-end.
  • Translate business problems into research plans with clear success metrics and scalable solution designs.
  • Build multi-agent systems capable of reliable collaboration, task coordination, and continuous improvement through feedback.
  • Design reusable AI services and libraries to accelerate adoption across applied AI teams.
  • Establish rigorous experimentation practices including offline/online evaluation and error analysis for measurable improvements.
  • Mentor engineers and researchers, fostering a culture of scientific rigor and continuous learning.

What we're looking for

  • Advanced degree in Computer Science, Machine Learning, Statistics, or related quantitative field.
  • Formal training/certification in applied artificial intelligence and machine learning with 5+ years of experience.
  • Proven track record deploying ML applications into production environments with operational excellence.
  • Strong software engineering skills in modern programming languages and ML frameworks.
  • Experience designing experiments and evaluations for ML systems with clear metrics and reproducible results.
  • Ability to lead cross-functional teams, translating complex technical topics for varied audiences.
  • Familiarity with cloud-based machine learning platforms like AWS SageMaker or Amazon Bedrock.

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