Lead Machine Learning Engineer - Item Recommendations

TargetBrooklyn Park, MN
13d$132,000 - $286,000Hybrid

About The Position

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.

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' of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
  • Highly proficient programming in Python
  • 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 or Sagemaker
  • Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed
  • Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI
  • Good understanding of Big Data tech, specifically Hadoop ecosystem – Spark, Kafka, Hive, etc.
  • Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
  • Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning 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 the junior team members
  • ML Ops skillsets and career development

Benefits

  • 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.
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