Lead Machine Learning Engineer – Merchandising AI, ML Ops

Target

Lead Machine Learning Engineer developing and optimizing merchandising AI solutions at Target. Designing and implementing production ML solutions while collaborating with data scientists and software engineers.

Posted 5/23/2026full-timeBrooklyn Park • Minnesota • 🇺🇸 United StatesSenior💰 $132,000 - $238,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDockerKubernetesPython

About the role

Key responsibilities & impact

Design, implement, and optimize production machine learning solutions
Join a Data Sciences team responsible for creating and optimizing the data and models used to build a world-class merchandising product
Conduct training sessions
Present work to technical and non-technical peers/leaders
Build knowledge on business priorities/strategic goals
Leverage knowledge while building requirements and solutions for each business need

Requirements

What you’ll need

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience in applied machine learning
5 plus years of experience in end-to-end machine learning application development
Extensive experience with applied machine learning frameworks and developing highly distributed machine learning systems at scale
Highly proficient in Python programming
Strong understanding of CI/CD practices for machine learning systems and ML Ops principles
Extensive experience with Google Cloud’s Vertex AI and/or the broader cloud-based ML ecosystem
Demonstrated knowledge of various testing frameworks and containerization like Docker and Kubernetes
Proven ability to collaborate with data scientists, software engineers and product managers to deliver scalable machine learning solutions
Excellent communication skills with an ability to tell data-driven stories through visualizations and narratives
Ability to mentor engineers and help establish engineering standards, architecture patterns, and best practices for AI/ML and cloud-native development.

Benefits

Comp & perks

comprehensive health benefits and programs
medical
vision
dental
life insurance
401(k)
employee discount
short term disability
long term disability
paid sick leave
paid national holidays
paid vacation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningPythonCI/CD practicesML Opsapplied machine learning frameworksdistributed machine learning systemstesting frameworkscontainerizationDockerKubernetes

Soft Skills

communication skillsmentoringcollaborationpresentation skillsstorytellingknowledge building

Certifications

4-year degree in Quantitative disciplinesMS in Computer ScienceMS in Applied MathematicsMS in StatisticsMS in Physics