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 US AS A LEAD ENGINEER - MACHINE LEARNING AND ML OPS

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 Statistics, Optimization 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 Marketing, Supply Chain Optimization, Network Security 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, and 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 and optimizing the data and models used to build a world-class supply chain.  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 may 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
• MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience in applied machine learning
• 5 plus years of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment and API design
• Strong understanding of applied machine learning concepts and frameworks with the ability to developing highly distributed machine learning systems at scale 
• Demonstrated experience in REST API design and development
• Highly proficient programming in PySpark (Python or Scala)
• Extensive understanding of Big Data technologies including Hadoop, Spark and Kafka
• Strong understanding of CI/CD practices for ML systems and MLOps principles; knowledge of various testing frameworks and containerization (Docker, Kubernetes) 
• Experience with Google Cloud’s Vertex AI and/or the broader cloud-based ML ecosystem 
• Proven ability to collaborate with data scientists, software engineers and product managers to deliver scalable ML solutions
• Excellent communication skills with an ability to tell data-driven stories through visualizations and narratives 
• Self-driven, results-oriented and able to meet tight deadlines 
• Motivated team player who thrives in a collaborative global environment

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

Americans with Disabilities Act (ADA)