Overview
Remote
On Site
USD 128,000.00 - 231,000.00 per year
Full Time
Skills
Life Insurance
Finance
Management
Art
Algorithms
Marketing
Supply Chain Optimization
Network Security
Modeling
Product Development
Retail
Data Science
Supply Chain Management
Expect
Software Design
Documentation
Training
Science
Mathematics
Computer Science
Applied Mathematics
Statistics
Physics
Application Development
Optimization
API
RESTful
PySpark
Python
Scala
Big Data
Apache Hadoop
Apache Spark
Apache Kafka
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
Testing
Docker
Kubernetes
Google Cloud Platform
Google Cloud
Vertex
Artificial Intelligence
Cloud Computing
Collaboration
Machine Learning (ML)
Communication
Apache Flex
Web Browsers
ADA
Regulatory Compliance
Job Details
The pay range is $128,000.00 - $231,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. 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 ;br>
JOIN US AS A LEAD ENGINEER - MACHINE LEARNING AND ML OPS
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target's culture and apply retail domain knowledge.
As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating and optimizing the data and models used to build a world-class supply chain. 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 may 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.
About you:
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: _E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to
Application deadline is : 06/29/2025
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. 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 ;br>
JOIN US AS A LEAD ENGINEER - MACHINE LEARNING AND ML OPS
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target's culture and apply retail domain knowledge.
As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating and optimizing the data and models used to build a world-class supply chain. 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 may 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.
About you:
- 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 in applied machine learning
- 5 plus years of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment and API design
- Strong understanding of applied machine learning concepts and frameworks with the ability to developing highly distributed machine learning systems at scale
- Demonstrated experience in REST API design and development
- Highly proficient programming in PySpark (Python or Scala)
- Extensive understanding of Big Data technologies including Hadoop, Spark and Kafka
- Strong understanding of CI/CD practices for ML systems and MLOps principles; knowledge of various testing frameworks and containerization (Docker, Kubernetes)
- Experience with Google Cloud's Vertex AI and/or the broader cloud-based ML ecosystem
- Proven ability to collaborate with data scientists, software engineers and product managers to deliver scalable ML solutions
- Excellent communication skills with an ability to tell data-driven stories through visualizations and narratives
- Self-driven, results-oriented and able to meet tight deadlines
- Motivated team player who thrives in a collaborative global environment
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: _E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to
Application deadline is : 06/29/2025
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.