This role pays less than
82%
of similar roles. Most pay
$196,562–$254,750
— the shaded band above.
At the midpoint, this role pays about
$185k
versus about
$226k
for comparable roles.
Based on 240 similar postings.
Employer
About Target
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has
58 open roles
on FindRole.
Listed pay typically runs
$98,000–$176,000
across 58 roles with salary data.
As a Lead Machine Learning Engineer - Merchandising AI (ML Ops), you will join the Data Sciences team to create and optimize data and models for a world-class merchandising product. You will design, implement, and optimize production machine learning solutions while ensuring high-performance code through best practices in software design, testing, and documentation. Your daily work involves building agentic AI solutions that integrate data, tools, APIs, and business rules into end-to-end decisioning workflows. The role requires expertise in Python, Google Cloud’s Vertex AI, Docker, Kubernetes, and CI/CD principles for ML Ops. You will also manage big data technologies including Hadoop, Spark, and Kafka to build scalable systems. Key responsibilities include mentoring engineers, establishing architecture patterns, and collaborating with cross-functional teams to solve complex problems within the merchandising domain using advanced predictive algorithms.