Applied AI ML - Sr. Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co.'s HR Data and Analytics team is seeking a Sr. Associate – Applied AI/ML to tackle workforce challenges through quantitative methods, partnering with domain experts to design and deploy AI/ML solutions from research to production.

You will work across stakeholders to scale AI initiatives, evaluate models, and advance the firm’s employee experience at scale, with opportunities for growth on a world-class data science team.

Qualifications

• Master’s or higher in CS, data science, engineering, or quantitative field.
• 2+ years in developing and deploying AI/ML with end-to-end design.
• Strong Python programming with TensorFlow/PyTorch/Keras/scikit-learn.
• ML techniques: supervised/unsupervised/semi-supervised, NLP, generative AI, or computer vision.
• Hands-on with Large Language Models, fine-tuning, prompts, and RAG pipelines.
• Understanding of agentic AI systems and design principles.
• Strong analytical and collaborative skills across teams.

Responsibilities

• Engage stakeholders to identify business needs and design AI/ML solutions.
• Partner with product managers, engineers, and domain experts across the AI/ML lifecycle.
• Perform AI model evaluations and monitoring; develop verification systems for accuracy and safety.
• Conduct research advancing AI and data science foundations.
• Collaborate with teams across the firm to advance mission and vision.

Skills

Python programming

Analytical thinking

Cross-functional collaboration

End-to-end AI/ML

Education

Master’s degree in Computer Science/Data Science/Engineering

PhD preferred

Tools

TensorFlow

PyTorch

Keras

scikit-learn

LLMs

Job description

We’re building the AI‑native, data‑driven future of HR at a leading global financial institution. With 300,000+ employees across 60+ countries, our AI team in HR Data and Analytics develops research and production solutions that help leaders make smarter, evidence‑based decisions—shaping how our global workforce operates.

As a Sr. Associate – Applied AI/ML in HR Data and Analytics, you apply quantitative, data science, and analytical skills to complex workforce challenges. You partner with domain experts and cross‑functional teams to design, develop, and scale AI/ML solutions from foundational research through production deployment. Your work drives strategic initiatives that shape the firm’s business and the employee experience at scale, with opportunities for personal and professional growth on a world‑class data science team.

Job responsibilities

• Engage with stakeholders to identify and define business needs and opportunities, and design technical solutions to address them.
• Partner with product managers, engineers, and functional experts across the end‑to‑end AI/ML lifecycle—conception, validation, scaling, production delivery, and performance monitoring.
• Perform AI model evaluations and monitoring; develop structured verification systems to ensure accuracy, safety, and reliability.
• Conduct research that advances the technical foundations of AI and data science capabilities.
• Collaborate with teams across the firm to advance mission and vision.

Required qualifications, capabilities, and skills

• Advanced degree (master’s or higher) in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative discipline.
• 2+ years of experience developing and deploying AI/ML solutions with hands‑on coding and end‑to‑end solution design.
• Strong programming skills in Python; including experience with libraries such as TensorFlow, PyTorch, Keras, or scikit‑learn.
• Demonstrated expertise in machine learning techniques (supervised, unsupervised, semi‑supervised), natural language processing (NLP), generative AI, or computer vision.
• Practical experience with Large Language Models (LLMs), including fine‑tuning, prompt and context engineering, and RAG pipelines.
• Understanding of agentic AI systems and their design principles.
• Demonstrate strong analytical and problem‑solving skills; thrive in cross‑functional, collaborative team environments.

Preferred qualifications, capabilities, and skills

• Hold a PhD in a relevant discipline.
• Experience in the financial services industry.

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