Software Engineer Associate III

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NYJersey City, NJ
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $176k

$123k most similar roles pay here $216k

This listing doesn't post a salary. Most similar roles pay $144,928–$207,000.

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 1174 open roles on FindRole.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Software Engineer Associate III

Role Posting Log in to save

As a Software Engineer Associate III - Databricks within the Corporate AIML Data Platforms and Chief Data & Analytics team, you will join an agile team to design and deliver secure, scalable technology products. You will develop and deploy AI/ML models, create high-quality production code for inference and training systems, and build data pipelines for enterprise applications. Your daily work involves producing architecture artifacts for AI-powered applications, transforming large datasets, and implementing natural language processing and generative AI technologies. You will utilize Python, Java, HTML, CSS, Spark, Pandas, and NumPy while working with frameworks like TensorFlow, PyTorch, and scikit-learn. The role requires expertise in MLOps, CI/CD, containerization, and cloud platforms including AWS, Azure, and GCP to solve complex problems regarding data integrity, security, and the integration of machine learning into backend services.

What does a Software Engineer earn in New York?

Median $215712 from 179 postings across 47 companies.

See salary data

Skills

Python Java TensorFlow PyTorch scikit-learn Spark Pandas NumPy MLOps CI/CD AWS Azure GCP Docker Kubernetes LLMs RAG NLP HTML CSS

What you'll do

Develop and deploy AI/ML models and data pipelines for enterprise applications.
Create secure, high-quality production code for machine learning inference and training systems.
Produce architecture and design artifacts for scalable and performant AI-powered applications.
Gather, analyze, and transform large datasets to support model development and evaluation.
Implement natural language processing and generative AI technologies in production systems.
Productionize machine learning models and integrate them with backend services.
Contribute to AI/ML communities through technical demos and knowledge sharing.

What we're looking for

Formal training or certification in software engineering and 3+ years of applied experience.
Hands-on experience with AI/ML model development, training, and deployment.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
Proficiency in Java for both client-side and server-side application development.
Proficiency in HTML, CSS, and modern front-end web development practices.
Experience with data pipelines and processing frameworks including Spark, Pandas, and NumPy.
Solid understanding of CI/CD, MLOps practices, model versioning, cloud platforms, and containerization.
Experience with generative AI, LLMs, vector databases, RAG architectures, and NLP techniques (preferred).