Lead ML Engineer - Personalization and Item Recommendations

Target • Brooklyn Park, MN

5d • Hybrid

About The Position

Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning. 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.

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
• 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

Nice To Haves

• ML Ops skillsets and career development

Responsibilities

• Designing, implementing, and optimizing production machine learning solutions.
• Understanding best practice software design.
• Participating in code reviews.
• Creating a maintainable well-tested codebase with relevant documentation.
• Conducting training sessions.
• Presenting work to technical and non-technical peers/leaders.
• Building knowledge on business priorities/strategic goals and leveraging this knowledge while building requirements and solutions for each business need.
• Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning solutions at scale.
• Mentoring the junior team members.

Benefits

• Comprehensive health benefits and programs (medical, vision, dental, life insurance)
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree