Lead Machine Learning / AI Engineer - Personalization (Python, PySpark, ML Ops)

The pay range is $128,000.00 - $231,000.00

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 .

JOIN TARGET AS A LEAD MACHINE LEARNING ENGINEER - PERSONALIZATION

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. In this role you'll be challenged to harness Target's impressive data breadth to build the algorithms?that power solutions our partners in Digital / Ecommerce, Marketing, Supply Chain Optimization, Search and Personalization. Every Scientist on Target's Data Sciences team can expect modeling and software / product development of highly performant code for model performance to elevate Target's culture and apply retail domain knowledge.

As Lead Machine Learning 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. We will also 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 conduct training sessions, present work to technical and non-technical peers / leaders, build knowledge on business priorities / strategic goals and leverage this knowledge while building requirements and solutions for each business need.

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 experience

PhD / MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience

5 plus years of experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment and API design

Highly proficient programming in Python and either PySpark or Scala

Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn or ONNX

Experience with ML Ops and cloud ML services such as Vertex AI / Azure ML / Sagemaker

Experience using distributed training frameworks like Spark / Ray / TensorFlow Distributed

Experience with serving frameworks such as TorchServe / TensorFlow Serving / FastAPI

Good understanding of Big Data tech - specifically Hadoop, Spark and Kafka

Experience creating and maintaining CI / CD pipelines for automated model testing and deployment

Extensive experience partnering with data scientists, software engineers and product managers to understand business requirements and translate them to ML solutions at scale

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 tight timelines

Motivated, team player with ability to collaborate effectively across global team

Experience in mentoring and developing junior team members ML skillset and careers

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

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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.

Application deadline is : 10 / 02 / 2025