AI Research Scientist, Senior Associate

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NY
Salary
$137,750–$195,000 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $166k
$124k most similar roles pay here $265k

This role pays less than 76% of similar roles. Most pay $167,537–$246,150 — the shaded band above. At the midpoint, this role pays about $166k versus about $207k 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 Scientist, Senior Associate

Role Posting Log in to save

As an AI Research Senior Associate in J.P. Morgan's AI Research team, you will collaborate with internal data scientists, applied engineering teams, and business stakeholders to develop innovative solutions for complex large-scale problems. Your day-to-day responsibilities include formulating research questions, designing experiments, developing new algorithms, and contributing to high-impact business applications through open-source software and patents. You will leverage Python and state-of-the-art machine learning frameworks like TensorFlow or PyTorch to build scalable models that address real-world challenges in the financial services domain. The role requires a PhD in Computer Science, Engineering, or related fields with two years of industry experience, along with expertise in statistical data analysis, experimental design, and practical software engineering skills for collaborative projects.

Skills

Python TensorFlow Keras PyTorch CI/CD MLOps PostgreSQL SQL Git Jupyter Notebook Docker AWS Google Cloud Platform Azure Scikit-learn Pandas NumPy Matplotlib Seaborn

What you'll do

  • Develop state-of-the-art machine learning models to solve real-world financial problems.
  • Formulate complex problems and generate hypotheses for AI research projects.
  • Conduct experiments, synthesize results, and communicate the significance of findings.
  • Contribute to high-impact business applications using advanced AI techniques.
  • Collaborate on open-source software and patent development in AI/ML fields.

What we're looking for

  • PhD in Computer Science, Engineering, or related fields with two 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 and ability to develop state-of-the-art models
  • Experience with statistical data analysis, experimental design, and rapid prototyping
  • Effective verbal and written communication skills for technical and business audiences
  • Demonstrated ability to work collaboratively on multi-disciplinary teams in financial services domain

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