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 368 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 198 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 novel techniques and frameworks for solving complex large-scale problems. Your day-to-day responsibilities include formulating research questions, developing new algorithms, conducting experiments, and contributing to high-impact business applications through open-source software and patents. You will leverage Python and platforms like TensorFlow or PyTorch to build state-of-the-art machine learning 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, proficiency in AI and ML techniques, and strong communication skills for engaging with both technical and business audiences.

Skills

Python TensorFlow Keras PyTorch CI/CD AWS Git Jupyter Notebook PostgreSQL MongoDB Docker Kubernetes Prometheus Grafana 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 solutions.
  • Conduct experiments, synthesize results, and communicate findings effectively.
  • Contribute to high-impact business applications using cutting-edge AI techniques.
  • Collaborate on open-source software projects and contribute to patent development.

What we're looking for

  • PhD in Computer Science, Engineering, or related field with two years of industry experience
  • Proficient in Python programming and state-of-the-art machine learning models
  • Experience with ML platforms like TensorFlow/Keras and PyTorch
  • Strong skills in statistical data analysis and experimental design
  • Ability to work effectively on multi-disciplinary teams and communicate research findings
  • Interest and knowledge in financial services domain problems
  • Published research in prominent AI/ML venues such as conferences and journals

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