Lead Machine Learning / AI Engineer - Personalization (Python, PySpark, ML Ops) at Target

Brooklyn Park, Minnesota, United States

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$128,000 – $277,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
PhD/MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
5+ 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/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, 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 and translate them to ML 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-oriented

Responsibilities

Design, implement, and optimize production machine learning solutions for personalized recommendations on Target.com and the Target App
Understand best practice software design
Participate in code reviews
Create a maintainable well-tested codebase with relevant documentation
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
Develop and manage state-of-the-art predictive algorithms that use data at scale to automate and optimize decisions at scale
Harness Target’s impressive data breadth to build algorithms that power solutions for Digital/Ecommerce, Marketing, Supply Chain Optimization, Search and Personalization
Model and software/product development of highly performant code for model performance to elevate Target’s culture and apply retail domain knowledge

Skills

Python

PySpark

MLOps

Machine Learning

Personalization

Recommendation Systems

Predictive Algorithms

Scalable Data Processing

Software Development

Target

Retailer offering diverse consumer goods

About Target

Target Corporation is a retail company that offers a wide range of products, including clothing, electronics, home goods, and groceries, through nearly 2,000 stores and an online platform. Its "Design For All" philosophy allows it to provide high-quality, affordable products that cater to diverse customer needs. Target differentiates itself from competitors with its owned brands and the Target Circle loyalty program, which enhances customer engagement. The company's goal is to support sustainability and community initiatives by giving back 5% of its profits to local communities.

Minneapolis, MinnesotaHeadquarters

2005Year Founded

N/ACompany Stage

Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Sick Leave

Paid Holidays

Paid Vacation

401(k) Retirement Plan

Employee Discounts

Risks

Increased competition from online-only retailers like Amazon threatens Target's market share.

Rising labor costs due to new minimum wage laws could impact profit margins.

Supply chain vulnerabilities from geopolitical tensions may affect inventory and pricing strategies.

Differentiation

Target's 'Design For All' philosophy offers unique, high-quality products at affordable prices.

The Target Circle loyalty program enhances customer engagement and shopping experience.

Target's commitment to sustainability and community support sets it apart from competitors.

Upsides

Experiential retail and 'retailtainment' strategies can boost customer engagement and foot traffic.

Augmented reality integration offers immersive shopping experiences showcasing Target's unique designs.

Omnichannel retail strategies enhance customer experience by integrating online and offline shopping.

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