Drimva

JPMorgan Chase

Applied AI and Machine Learning Lead

$171K–$260K

Jersey City, NJ +1 · Full-time · Posted Oct 15, 2026

Location
Jersey City, NJ
Plano, TX
Experience
7+ years of applied experience building and deploying machine learning and generative AI solutions in production environments.
Education
Master’s degree in computer science, engineering, statistics, or a related quantitative discipline.

About the job

Leads generative AI, agentic AI, and advanced analytics initiatives from research and experimentation through production deployment, with a focus on evaluation, reliability, governance, and measurable business outcomes.

What you'll do

  • Lead end-to-end AI initiatives, including foundation-model design, evaluation, production release, and adoption.
  • Build and operate production-grade machine learning and generative AI services, including monitoring, reliability, and risk controls.
  • Set semantic modeling and governance standards, partner across teams on delivery, and mentor engineers and data scientists.

What they ask for

  • Master’s degree in computer science, engineering, statistics, or a related quantitative discipline.
  • 7+ years of applied experience building and deploying machine learning and generative AI solutions in production.
  • Strong proficiency in Python and modern machine learning frameworks (for example, PyTorch).
  • Experience with model evaluation and production operations, plus working knowledge of responsible AI, model risk, and governance controls.

Nice to have

  • PhD in a relevant quantitative field or demonstrated applied research impact in machine learning or generative AI.
  • Experience with agentic AI systems, semantic modeling, or AI in financial services or other highly regulated industries.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

Python, PyTorch

AI focus

Generative AI, agentic AI, foundation models, advanced analytics, model evaluation, and responsible AI governance.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)