AIML Engineer RecSys (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 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 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 an AI Engineer you will join a Data Sciences team responsible for creating personalized recommendations on 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 Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members 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

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.