This role pays less than
87%
of similar roles. Most pay
$196,312–$249,750
— the shaded band above.
At the midpoint, this role pays about
$172k
versus about
$223k
for comparable roles.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
81 open roles
on FindRole.
Listed pay typically runs
$145,018–$224,000
across 47 roles with salary data.
Wells Fargo’s AI/ML Data Architecture, Engineering, and Enablement team is hiring a Lead Machine Learning Engineer to design and deliver advanced machine learning solutions from experimentation through production monitoring. This role involves leveraging Google Cloud Platform (GCP) services like BigQuery, Dataflow, and Pub/Sub to build scalable data pipelines and model architectures for predictive AI and generative models. Key responsibilities include enabling self-service data consumption, standardizing feature engineering with a common feature store, and optimizing GCP workloads for cost and performance. The ideal candidate has extensive experience in Python, Go, and GCP orchestration tools like Cloud Composer, as well as hands-on expertise in machine learning algorithms and model governance. This position requires strong skills in data modeling, automated testing, and monitoring stacks to ensure secure and compliant AI solutions that drive operational efficiency at scale.