Target is one of America's leading retailers, known for offering outstanding value, inspiration, innovation and exceptional guest experience.

Target, one of America's leading retailers, is seeking a Machine Learning Engineer to join their Demand Forecasting Engine (DFE) team. This role sits at the crucial intersection of advanced data science and large-scale distributed systems, where you'll be responsible for designing and implementing high-performance machine learning solutions that drive enterprise-wide decision-making.

As a Machine Learning Engineer, you'll be working on building and scaling sophisticated model scoring and publishing applications that power Target's demand forecasting capabilities. The role combines technical expertise in ML frameworks, distributed systems, and software engineering best practices with the business-critical task of delivering accurate forecasts at scale.

The position offers a competitive salary range of $73,200 - $131,700, along with comprehensive benefits including health coverage, 401(k), and various insurance options. Working in a hybrid model, you'll have the flexibility to work both from Target's headquarters and remotely, fostering a balanced work environment.

The ideal candidate will bring strong technical skills in Python, Java, or Scala, along with experience in ML frameworks and cloud services. You'll be joining a collaborative, global team where your contributions will directly impact Target's ability to optimize its operations and better serve its customers.

This role presents an excellent opportunity for a mid-level engineer looking to work with cutting-edge ML technologies while solving real-world business challenges at scale. You'll be part of Target's mission to help families discover the joy of everyday life while working on technically challenging problems in a supportive, growth-oriented environment.

Machine Learning Engineer position at Target focusing on demand forecasting, offering $73,200-$131,700 salary range with comprehensive benefits and hybrid work arrangement.

Machine Learning Engineer - Demand Forecasting

One of America's leading retailers offering outstanding value, inspiration, innovation and exceptional guest experience.

Target is seeking a Senior Machine Learning Engineer to join their 1:1 Personalization team. This role offers an exciting opportunity to work at one of America's leading retailers, focusing on building and scaling production-ready ML systems that power personalized guest experiences. The position combines cutting-edge machine learning with practical engineering challenges, requiring expertise in Python, ML Ops, and various ML frameworks.

The role offers a competitive salary range of $95,000 - $171,000, along with comprehensive benefits including health coverage, 401(k), and paid time off. Working in a hybrid model at Target's Brooklyn Park location, you'll be part of Target Data Sciences, developing state-of-the-art predictive algorithms that optimize decisions at scale.

As a Sr ML Engineer, you'll collaborate with cross-functional teams to transform models into robust, high-performing services. The role requires 3+ years of experience in applied ML/ML Ops, strong programming skills, and expertise with tools like GCP Vertex AI, Docker, and Kubernetes. You'll work on recommendation systems, personalization, and other ML applications while having opportunities to mentor junior team members and contribute to the organization's technical growth.

Target's commitment to innovation and data-driven decision-making makes this an ideal position for someone passionate about applying ML at scale while working for a company that values both technical excellence and positive community impact. The role offers growth opportunities through technical leadership, training facilitation, and strategic business involvement.

Senior Machine Learning Engineer position at Target, focusing on 1:1 personalization and ML systems, offering $95k-$171k with comprehensive benefits and hybrid work model.

Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)

Target is seeking an Engineer for their ATP Ship Methods team, a critical system handling millions of transactions per second for various delivery methods including Drive up, In Store Pickup, Ship to Home, and Shipt Scheduled Delivery. This role offers an exciting opportunity to work on high-scale systems with sub-20ms response times.

The position requires expertise in backend development, particularly with JVM-based languages and modern frameworks. You'll be responsible for designing and implementing scalable solutions, contributing to architectural decisions, and ensuring high-quality code through reviews and best practices.

The role offers a competitive salary range of $73,200 - $131,700, along with comprehensive benefits including medical, dental, vision, 401(k), and paid time off. Target's commitment to work-life balance is reflected in their hybrid work model, allowing flexibility between onsite and remote work.

As part of Target's technology team, you'll contribute to systems that directly impact millions of customers' shopping experiences. The role requires at least 1 year of software development experience, with desired expertise in Kotlin, Kafka, Spring frameworks, and high-scale REST APIs.

Target's culture emphasizes continuous learning, innovation, and giving back to communities. They invest heavily in their team members' growth and well-being, making it an excellent opportunity for engineers looking to make a significant impact while working with cutting-edge technologies in retail technology.

Backend Engineer position at Target focusing on high-scale shipping methods system, offering hybrid work and competitive benefits.

Engineer – ATP Ship Methods

Target, one of America's leading retailers, is seeking a Senior Machine Learning Engineer to join their Data Sciences team. This role focuses on developing and managing state-of-the-art predictive algorithms for 1:1 personalization and custom audiences. The position offers a competitive salary range of $95,000 - $171,000 and operates on a hybrid work model at their Brooklyn Park, MN location.

The ideal candidate will have 3+ years of experience in applied Machine Learning/ML Ops, with strong expertise in Python, Java, or Scala. You'll be responsible for designing and implementing production-ready ML systems that power personalized guest experiences, working closely with data scientists, product managers, and software engineers. The role requires extensive experience with ML Ops tools like GCP Vertex AI, BigQuery, and containerization technologies.

Target offers a comprehensive benefits package including medical, dental, vision, life insurance, 401(k), and various other perks. The company is known for its commitment to responsible corporate citizenship and has been giving 5% of its profits back to communities since 1946. This role presents an excellent opportunity to work on cutting-edge ML technologies while making a real impact on Target's digital transformation journey.

The position combines technical expertise with leadership responsibilities, including mentoring junior team members and presenting to technical leaders. You'll be working in a collaborative environment where you can contribute to building sophisticated ML infrastructure and solving complex engineering challenges at scale.

Senior Machine Learning Engineer position at Target focusing on 1:1 personalization, offering $95k-$171k salary, hybrid work model, and comprehensive benefits.

Target is seeking a Lead Engineer for their Mobility Infrastructure team to manage core mobile device capabilities across headquarters, stores, and distribution centers. This role involves overseeing a vast infrastructure of over 200,000 devices spanning multiple platforms. The position combines technical leadership with hands-on engineering, requiring expertise in mobile device management, security, and system architecture.

The role offers an opportunity to work with an agile team focused on solving complex business problems and improving device consistency across Target's extensive network. You'll be responsible for leading technical initiatives, evaluating new technologies, and establishing best practices for mobile device management. The position requires collaboration with multiple teams including Security, Infrastructure, Support, and Development.

As a Lead Engineer, you'll play a crucial role in shaping Target's mobile technology strategy, contributing to 3-5 year roadmaps, and ensuring the stability and security of mobile platforms. The position offers competitive compensation ranging from $128,000 to $231,000, along with comprehensive benefits including medical, dental, vision, 401(k), and more.

The ideal candidate will bring 4+ years of enterprise-level technical experience, strong expertise in MDM solutions, and deep knowledge of mobile platforms and security. You'll be joining a forward-thinking team that's continuously evolving to improve the health and stability of device platforms, directly impacting the experience of store and distribution center team members.

This role represents an excellent opportunity for a technical leader who wants to make a significant impact at scale, working with cutting-edge mobile technologies while supporting one of America's leading retailers. The position combines strategic thinking with hands-on technical work, making it ideal for someone who enjoys both leadership and practical engineering challenges.

Lead Mobile Engineering role at Target managing device infrastructure across 2,000+ locations, offering $128K-$231K salary with comprehensive benefits.

Lead Engineer - Mobility

Target is seeking a Lead Machine Learning Engineer to join their Data Sciences team, focusing on creating personalized recommendations for Target.com and the Target App. This role combines advanced machine learning expertise with practical software engineering skills to build and deploy scalable AI solutions. The position offers a competitive salary range of $128,000 - $231,000 and comprehensive benefits.

As a Lead ML Engineer, you'll be at the forefront of developing state-of-the-art predictive algorithms that leverage Target's extensive data to optimize decisions across Digital/Ecommerce, Marketing, Supply Chain Optimization, Search, and Personalization. The role demands expertise in Python, PySpark, and modern ML frameworks, along with experience in MLOps and distributed systems.

The ideal candidate will have 5+ years of experience in end-to-end Machine Learning application development, with either a PhD/MS in a quantitative field or equivalent experience. You'll be responsible for designing and implementing production ML solutions, maintaining high-quality codebases, and mentoring junior team members. The position requires excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Target offers a comprehensive benefits package including medical, dental, vision, life insurance, 401(k), paid time off, and employee discounts. The role operates on a hybrid work model, combining onsite work at Target HQ in Minnesota with remote flexibility. This is an excellent opportunity for an experienced ML engineer looking to make a significant impact in retail technology while working for one of America's leading retailers.

Lead Machine Learning Engineer position at Target, focusing on personalization systems, requiring Python, PySpark, and MLOps expertise, offering $128K-$231K salary with comprehensive benefits.

Target Engineering Jobs

Target is one of America's leading retailers, known for offering outstanding value, inspiration, innovation and exceptional guest experience.