Target Enterprise Inc is hiring a Lead Machine Learning Engineer to drive personalized recommendations on Target.com and the Target App. You will be responsible for designing, implementing, and optimizing production machine learning solutions, creating a maintainable codebase, and partnering across teams to translate business needs into ML systems at scale.

What You'll Do

Design, implement, and optimize production machine learning solutions for personalized recommendations.
Create and maintain a well-tested, maintainable codebase with relevant documentation.
Participate in code reviews and adhere to best practice software design.
Conduct training sessions and present work to technical and non-technical peers and leaders.
Build knowledge on business priorities and strategic goals to inform requirements and solutions.
Partner with data scientists, software engineers, and product managers to translate business requirements into ML solutions at scale.
Mentor and develop junior team members' ML skillset and careers.

What We're Looking For

A 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent 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, or Sagemaker.
Experience using distributed training frameworks like Spark, Ray, or TensorFlow Distributed.
Experience with serving frameworks such as TorchServe, TensorFlow Serving, or 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.
Excellent communication skills with the ability to clearly tell data driven stories.
Self-driven and results oriented; able to meet tight timelines.
Motivated team player with ability to collaborate effectively across global team.

Nice to Have

A PhD or MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience.
Experience in mentoring and developing junior team members ML skillset and careers.