The pay range is $75,400.00 - $135,700.00

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

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.

 
Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests.

As a ML/AI Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target mobile app. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions and the platforms supporting them. We will 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 will work in partnership with data scientists, engineers, and product managers to understand the business requirements and build solutions to meet business 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 Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent work experience
• Demonstrated proficiency in Python or Java programming
• Familiarity with ML frameworks such as PyTorch, TensorFlow, XGBoost, and Scikit learning
• Familiarity with software design on Linux/Mac
• Familiarity with software version control such as Git, software test coverage practices and frameworks such as PyTest
• Extensive SQL querying experience
• Experience with CI/CD – Docker, Drone and Kubernetes
• Understanding the end-to-end model lifecycle including data ingestion and processing, feature extraction and selection, model training and 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; able to meet deadlines
• Motivated team player with ability to collaborate effectively across global team

Bonus Points:

• MS in Computer Science, Applied Mathematics, Stats, Physics or equivalent industry experience
• Familiarity with cloud ML Ops services such as Vertex AI/Azure ML/Sagemaker
• Proficiency in Python, PySpark, and/or Scala
• Experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design

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 at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.  

Application deadline is : 03/22/2026