Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)
Job Description
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.
Responsibilities For Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)
- Design, build and scale production-ready ML systems
- Power personalized and data-driven guest experiences
- Work closely with data scientists, product managers, and software engineers
- Turn models into robust, high-performing services
- Participate in code reviews
- Create maintainable and well-tested codebase with documentation
- Design and develop additional tooling, such as REST APIs or streaming message queues
- Present work to technical leaders
- Conduct training sessions
- Contribute learnings back to the organization
Requirements For Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)
- 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
- 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
- Excellent communication skills
- Self-driven and motivated team-player
- Experience in mentoring junior team members
Benefits For Sr ML Engineer - 1:1 Personalization (Python, Applied ML, Vertex)
- Comprehensive health benefits
- Life insurance
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
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