T

AI/ML Engineer - RecSys (ML Ops)

salary Salary :

$75,400 - 135,700 yearly

icon building Company : Target
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - AI/ML Engineer - RecSys (ML Ops)

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 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_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 [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.  

Application deadline is : 06/18/2026
Original job AI/ML Engineer - RecSys (ML Ops) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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