Machine Learning Engineer - Demand Forecasting (Python, applied ML, ML Ops)

The pay range is $73,200.00 - $131,700.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In 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 selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A MACHINE LEARNING ENGINEER – DEMAND FORECASTING ENGINE (DFE)

 

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.

 

As a Machine Learning Engineer on Target’s Demand Forecasting Engine (DFE) team, you’ll design, build, and scale high-performance on-demand model scoring and publishing applications that power decision-making across the enterprise. Working at the intersection of advanced data science models and large-scale distributed systems, you’ll develop resilient, low-latency pipelines and services that deliver accurate forecasts at scale. By leveraging modern distributed technologies, you’ll turn complex models into reliable, production-grade insights that enable smarter, faster business decisions.

 

You’ll be expected to apply best practices in software design, contribute to code reviews, and develop a maintainable, well-tested, and well-documented codebase. At the organizational level, you’ll collaborate closely with data scientists, engineers, and product managers to translate business requirements into scalable, production-ready solutions that meet enterprise needs. 

 

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 a quantitative discipline (Computer Science, Technology, Engineering, Mathematics) or equivalent work experience
• Demonstrated proficiency in Python, Java, or Scala programming
• Experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment and API design
• Experience with ML frameworks such as PyTorch, TensorFlow, XGBoost, and Scikit-learn
• Experience with cloud ML services such as Vertex AI, Azure ML, or SageMaker
• Familiarity with containerized technologies like Docker or Kubernetes
• Experience with software version control (e.g., Git) and unit/integration testing frameworks (e.g., PyTest, JUnit, ScalaTest)
• Strong commitment to writing high-quality, maintainable and well-tested code with clear documentation ensuring reliability, scalability and long-term sustainability in production systems
• ·Understanding of the end-to-end model lifecycle including data ingestion and processing, feature selection, model training/tuning, model evaluation, and model deployment
• Excellent communication skills with the ability to clearly tell data-driven stories through appropriate visualizations, graphs, and narratives
• Self-driven and results-oriented, with the ability to deliver against deadlines
• Motivated team player with the ability to collaborate effectively across a global team

 

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite