AI Research Lead, Natural Language Processing

JPMorgan Chase

Quick summary

Work type: On-site
Location: New York, NY
Salary: $164,350–$260,000 / yr
Posted: 9 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k

This role $212k

$153k most similar roles pay here $271k

This role pays more than 52% of similar roles. Most pay $176,437–$246,150 — the shaded band above. At the midpoint, this role pays about $212k versus about $211k 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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · AI Research Lead, Natural Language Processing

Role Posting Log in to save

The AI Research Lead role at J.P. Morgan's AI Research team requires a Vice President-level professional to drive innovative solutions for complex large-scale problems in the financial services domain. This individual will collaborate with data scientists, engineers, and business stakeholders on multiple commercially-oriented research projects, developing new algorithms and models, conducting experiments, and contributing to high-impact business applications. Key responsibilities include formulating problems, generating hypotheses, building state-of-the-art machine learning models, and communicating research findings effectively. The ideal candidate should have a PhD in Computer Science or related fields with extensive industry experience, proficiency in Python, and expertise in AI/ML techniques such as TensorFlow/Keras and PyTorch. Additionally, the role demands strong communication skills, the ability to work collaboratively across diverse teams, and a track record of publishing research in prominent venues.

Skills

Python TensorFlow Keras PyTorch CI/CD Docker PostgreSQL AWS Azure Google Cloud Platform Git Jupyter Notebook Scikit-learn Pandas NumPy NLTK SpaCy BERT Hugging Face Transformers

What you'll do

Develop state-of-the-art machine learning models for real-world financial problems.
Formulate research hypotheses and conduct experiments to solve complex business issues.
Contribute to high-impact business applications using AI and ML techniques.
Communicate research findings effectively to technical and business stakeholders.
Collaborate with data scientists, engineers, and business teams on projects.

What we're looking for

PhD in Computer Science, Engineering, or related fields with at least three years of industry experience
Proficient programming skills in Python and practical experience with ML platforms like TensorFlow/Keras, PyTorch
Strong understanding of fundamental AI and ML techniques, statistical data analysis, and experimental design
Ability to work on multi-disciplinary teams and contribute to high-impact business applications
Effective verbal and written communication skills for technical and business audiences

Remote

Save