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 AN AI ENGINEER - RECOMMENDATIONS
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 with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for model performance at scale.
As an AI Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target 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:
- BS, MS or PhD in Computer Science, Applied Mathematics, Statistics, Physics, equivalent work or industry experience
- 1 plus year of applied machine learning application development including data pipelining, model optimization, deployment/ML Ops and API design
- Strong programming in Python, Java, SQL and experience with ML frameworks such as PyTorch, TensorFlow, XGBoost and sklearn
- Experience with cloud ML services such as Vertex AI, Azure ML or AWS Sagemaker
- Experience with containerized technologies like Docker and Kubernetes
- Experience with PySpark
- Experience with software design on Linux/Mac
- Experience with software version control such as Git and software test coverage practices/frameworks such as PyTest or JUnit
- 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 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 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_DAmericans 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 [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 06/18/2026Skills Required
- BS, MS or PhD in Computer Science, Applied Mathematics, Statistics, Physics, or equivalent experience
- 1+ year applied machine learning application development including data pipelining, model optimization, deployment/ML Ops and API design
- Strong programming in Python, Java, and SQL
- Experience with ML frameworks such as PyTorch, TensorFlow, XGBoost and sklearn
- Experience with cloud ML services such as Vertex AI, Azure ML or AWS SageMaker
- Experience with containerized technologies like Docker and Kubernetes
- Experience with PySpark
- Experience with software design on Linux or Mac
- Experience with version control (Git) and test coverage practices/frameworks such as PyTest or JUnit
- Excellent communication skills including data driven storytelling and visualizations
- Self-driven, results oriented; able to meet deadlines
- Motivated team player able to collaborate effectively across a global team
Target Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.
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Healthcare Strength — Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
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Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
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Parental & Family Support — Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.
Target Insights
What We Do
Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
