JPMorgan Chase
Applied AI/ML Lead - Payments
$171K–$260K
Seattle, WA +2 · Full-time · Posted Jul 9, 2026
- Location
- Seattle, WA
Palo Alto, CA
New York, NY - Experience
- 5+ years of applied experience; 5+ years building and delivering production machine learning or NLP solutions.
- Education
- Formal training or certification on applied artificial intelligence and machine learning concepts.
About the job
Leads end-to-end delivery of document extraction and natural language processing solutions for Payments, from problem framing and data strategy through production deployment and measurement.
What you'll do
- Design and operate scalable document and text-processing model pipelines, including evaluation, monitoring, and lifecycle practices.
- Set technical direction and review designs, code, and models while partnering with product, engineering, data, risk, and compliance teams.
- Communicate technical tradeoffs and model outcomes to senior stakeholders in terms of business impact.
What they ask for
- Formal training or certification in applied AI and machine learning concepts, plus 5+ years of applied experience.
- 5+ years building and delivering production machine learning or NLP solutions with measurable outcomes.
- Strong Python skills; experience with PyTorch or TensorFlow, document extraction and NLP techniques, and SQL and distributed processing tools such as Spark or equivalent.
- Experience deploying and operating machine learning services or pipelines in a cloud environment such as Amazon Web Services or equivalent.
Nice to have
- Experience with OCR, document understanding, transformer-based models, or efficient inference.
- Experience with MLOps, real-time or event-driven architectures, or document extraction/NLP in payments, financial services, or regulated environments.
Pay
USD 171,000.00-$260,000.00 base salary (Seattle, WA); USD 171,000.00-$260,000.00 base salary (Palo Alto, CA); USD 171,000.00-$260,000.00 base salary (New York, NY)
Tools
Python, PyTorch, TensorFlow, SQL, Spark, Amazon Web Services
AI focus
Applied AI/ML for document extraction and NLP, including text classification, information extraction, model evaluation, and production lifecycle management.
Model-written summary · the original posting is authoritative