Lead Machine Learning Engineer

1 month ago

Minneapolis, Minnesota, United States Target Full time
About the Role

The Lead Machine Learning Engineer will play a crucial role in designing, implementing, and optimizing production machine learning solutions for personalized recommendations on Target.com and the Target App. This position requires a strong background in machine learning, data science, and software engineering, with experience in end-to-end application development, data pipelining, model optimization, deployment, and API design.

Key Responsibilities
  • Design and implement machine learning models for personalized recommendations
  • Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate to machine learning solutions at scale
  • Develop and maintain CI/CD pipelines for automated model deployment and testing
  • Work in partnership with data scientists and software engineers to create and maintain a maintainable, well-tested codebase with relevant documentation
  • Conduct training sessions, present work to technical and non-technical peers/leaders, and build knowledge on business priorities/strategic goals
Requirements
  • 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
  • 5 plus years' 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, and ONNX
  • Experience with one or more 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, Kafka, Spark
  • 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
Preferred Qualifications
  • PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
  • Proficiency in Java
Work Arrangement

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.

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