Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)
Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)
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$ 95000 - 171000
1 Vacancy
Job Description
Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at TARGET AS A SR MACHINE LEARNING ENGINEER 1:1 PERSONALIZATION and CUSTOM AUDIENCES (Python Applied ML Vertex AI)
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 withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Digital Optimization or Machine Learning teams youll be challenged to harness Targets impressive data breadth to build the algorithmsthat power solutions our partners in Marketing Ad Tech Supply Chain Optimization Forecasting Search and Personalization rely on.
As a Sr Machine Learning Engineer you will design build and scale production-ready ML systems that power personalized and data-driven guest experiences. You will work closely with data scientists product managers and software engineers to turn models into robust high-performing services that deliver real impact at scale. This role is ideal for someone who is passionate about building ML infrastructure deploying state-of-the-art models and solving complex engineering challenges at scale. Sr Machine Learning Engineers are expected to understand best-practice software design participate in code reviews and create a maintainable and well-tested codebase with relevant documentation. Additionally candidates will have opportunities to design and develop additional tooling such as REST APIs or streaming message queues to deliver data to external consumers. You will also have opportunities to present work to technical leaders conduct training sessions and contribute learnings back to the organization. You will also build knowledge on business priorities and strategic goals leveraging this understanding to inform 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
- 3 plus years of experience in end-to-end applied Machine Learning/ML Ops
- Demonstrated programming experience in Python Java or Scala
- Experience deploying Machine Learning algorithms into production environments
- Extensive experience with ML Ops (GCP Vertex AI BigQuery etc.) and various testing frameworks and containerization (Docker Kubernetes)
- Familiarity with Deep Learning frameworks and libraries (TensorFlow PyTorch Scikit-learn)
- Experience with Recommendation Systems Personalization NLP or Computer Vision
- Knowledge of feature stores vector databases or real-time streaming architectures
- Good understanding of Big Data tech - specifically the Spark and/or the Hadoop ecosystem
- Ability to collaborate with product managers applied data scientists and engineers to understand the business requirements and translate to machine learning solutions at scale
- Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations graphs and narratives
- Self-driven and motivated team-player with ability to collaborate effectively across global team
- Experience in mentoring junior team members in ML skillset and career development
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members core role will need to be performed both onsite at the Target HQ Sunnyvale 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.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: 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 : 09/18/2025Required Experience:
Senior IC
Employment Type
Full-Time
