Lead Machine Learning Engineer Merchandising AI (ML Ops)

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and addition to your pay Target cares about and invests in you as a team member so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs which may include medical vision dental life insurance and more to help you and your family take care of your whole benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at US AS A LEAD MACHINE LEARNING ENGINEER MERCHANDISING AI

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams youll be challenged to harness Targets impressive data breadth to build the algorithmsthat power solutions our partners in Digital Marketing Supply Chain Optimization Advanced AI Search and Personalization rely on. Every Scientist on Targets Data Sciences team can expect modeling and data science software/product development of highly performant code for model performance at scale.

As the Lead Machine Learning Engineer Merchandising you will join a Data Sciences team responsible for creating and optimizing the data and models used to build a world-class merchandising product. You will play a crucial role in designing implementing and optimizing production machine learning solutions. We will also expect you to understand best practice software design participate in code reviews and create a maintainable well-tested codebase with relevant documentation. At an organizational level you may conduct training sessions present work to technical and non-technical peers/leaders build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you:

• 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 including data pipelining model optimization deployment and API design
• Extensive experience with applied machine learning frameworks and the ability to 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 Clouds Vertex AI and/or the broader cloud-based ML ecosystem
• Demonstrated knowledge of various testing frameworks and containerization like Docker and Kubernetes
• Lead the development of agentic AI solutions that connect data tools APIs and business rules into end-to-end decisioning workflows
• Demonstrated experience in REST API design and development
• Extensive understanding of Big Data technologies including Hadoop Spark and Kafka
• 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.
• Self-driven results-oriented and able to meet tight deadlines
• Motivated team player who thrives in a collaborative global environment

Benefits Eligibility

In compliance with state and federal laws Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process please reach out to Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.