Marketing Jobs in Brooklyn Park, MN

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1mo ago

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Target Brooklyn Park, MN

Brooklyn Park, MN

1mo ago Closed

$98k - $176k/yr Full time Marketing Ai Ml Analytics

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Target Data Sciences is seeking a Senior Machine Learning Engineer to design, implement, and deploy ML solutions that power audiences for highly personalized offers. In a hybrid role based in Brooklyn Park, MN, you will collaborate across product, engineering, marketing, and analytics to translate business priorities into scalable ML systems for Marketing and Corporate Systems.

Responsibilities

Work with cross-functional partners in product, engineering, marketing, and analytics to set strategy, run experiments, and ensure personalization drives measurable impact for guests and the business.
Design, implement, and optimize ML solutions that operate in production environments.
Apply best practices in software design, participate in code reviews, and maintain a well-tested codebase with proper documentation.
Lead training sessions and present work to both technical and non-technical stakeholders, translating business priorities into effective requirements and solutions.
Join a Data Sciences team focused on creating and maintaining audiences for highly personalized offers to guests.

Requirements

Bachelor's degree in a quantitative field (Science, Technology, Engineering, Mathematics) or equivalent experience; MS in Computer Science, Applied Mathematics, Statistics, Physics, or related field is preferred.
3+ years of end-to-end machine learning application development, including data pipelining, model optimization, deployment, and API design.
Experience deploying machine learning algorithms into production environments.
Highly proficient in Python programming.
Experience with ML frameworks such as PyTorch, TensorFlow, XGBoost, scikit-learn, and ONNX.
Extensive experience with cloud ML services like GCP Vertex AI, Azure ML, or SageMaker.
Experience using distributed training frameworks such as Spark, Ray, or TensorFlow Distributed.
Experience with serving frameworks such as TorchServe, TensorFlow Serving, or FastAPI.
Solid understanding of Big Data technologies, including the Hadoop ecosystem (Spark, Kafka, Hive, etc.).
Experience building and maintaining CI/CD pipelines for automated model deployment and testing.
Ability to collaborate with applied data scientists, software engineers, and product managers to translate business requirements into scalable ML solutions.
Excellent communication skills with the ability to tell data-driven stories through visualizations, graphs, and narratives.
Self-driven and results-oriented, capable of meeting tight deadlines.
Motivated, team-oriented collaborator with the ability to work across global teams.

Technologies

Python
PyTorch
TensorFlow
XGBoost
scikit-learn
ONNX
GCP Vertex AI
Azure ML
SageMaker
Spark
Ray
TensorFlow Distributed
TorchServe
TensorFlow Serving
FastAPI
Hadoop
Kafka
Hive
CI/CD pipelines

Benefits

Health benefits including medical, vision, dental, and life insurance
401(k) plan
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation
Education benefits

About You

Ideal candidates typically hold a MS in a quantitative field or equivalent experience and bring 3+ years of end-to-end ML development, including data pipelines, model optimization, deployment, and API design. You should have production deployment experience, strong Python proficiency, and hands-on work with major ML frameworks, cloud ML services, distributed training, serving solutions, and big data tools. Clear communication, a collaborative mindset, and the ability to work toward business goals at scale are essential.

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