Senior Lead Software Engineer, AI/ML

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NY
Salary
$171,000–$260,000 / yr
Posted
today
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $216k
$139k most similar roles pay here $273k

This role pays more than 65% of similar roles. Most pay $163,987–$231,362 — the shaded band above. At the midpoint, this role pays about $216k versus about $198k 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 439 open roles on FindRole.

Listed pay typically runs $148,625–$212,500 across 228 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Lead Software Engineer, AI/ML

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As a Senior Lead Software Engineer specializing in AI/ML at JPMorgan Chase’s Consumer & Community Banking division, you will join an agile team dedicated to developing and scaling advanced machine learning platforms. Your role involves designing and implementing robust infrastructure and tools that enable efficient model development, deployment, and monitoring for data scientists and engineers. You will work on critical technology solutions across various technical domains to support the firm's business objectives and drive innovation in ML capabilities. Key responsibilities include proficiency in Python and popular ML frameworks like TensorFlow or PyTorch, experience with cloud-based platforms such as AWS SageMaker, and expertise in MLOps practices including CI/CD for ML workflows. Additionally, you will develop APIs and platform services, integrate scalable data engineering solutions using Databricks, manage feature stores and model registries, and utilize containerization tools like Docker and Kubernetes to ensure seamless deployment and orchestration of ML models.

Skills

Python TensorFlow PyTorch Scikit-learn Spark Pandas AWS_SageMaker GCP_AI_Platform Azure_ML CI/CD MLOps Docker Kubernetes Airflow Snowflake Snorkel_AI Feature_stores Model_registries Terraform CloudFormation RESTful_APIs Microservices_architecture

What you'll do

  • Design and implement robust machine learning platforms using Python and ML frameworks.
  • Develop APIs and platform services to support efficient ML workflows.
  • Apply MLOps practices including CI/CD for model versioning and monitoring.
  • Utilize cloud-based ML platforms like AWS SageMaker or GCP AI Platform.
  • Manage feature stores, model registries, and metadata for scalable solutions.

What we're looking for

  • Proficient in Python and ML frameworks like TensorFlow or PyTorch
  • Experience with data processing tools such as Spark, Pandas, and SQL
  • Expertise in cloud-based ML platforms (AWS SageMaker, GCP AI Platform)
  • Strong understanding of MLOps practices including CI/CD for ML models
  • Familiarity with Databricks, Snowflake, and Snorkel AI for data management
  • Experience with containerization tools like Docker and orchestration systems

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