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

Target

Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$98,000–$176,000 / yr
Posted
3 days ago
Closes
Jul 3, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $137k
$79k most similar roles pay here $279k

This role pays less than 94% of similar roles. Most pay $176,721–$249,821 — the shaded band above. At the midpoint, this role pays about $137k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 50 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 50 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Apply Now Log in to save

As a Senior AI/ML Engineer at Target’s Data Sciences team, you will work on developing and maintaining machine learning solutions that create personalized offers for guests. Your day-to-day responsibilities include collaborating with cross-functional teams to design, implement, and optimize ML models in production, ensuring they meet business needs. You will use Python extensively along with frameworks like PyTorch, TensorFlow, and XGBoost, and deploy models using cloud services such as GCP Vertex AI or AWS SageMaker. Additionally, you will participate in code reviews, create maintainable and well-documented codebases, and conduct training sessions to educate peers on ML best practices. This role involves working with large-scale data technologies like Spark, Kafka, and Hadoop, and creating CI/CD pipelines for automated model deployment.

Skills

Python Pytorch TensorFlow xgboost sklearn ONNX GCP Vertex AI Azure ML Sagemaker Spark Ray TensorFlow Distributed TorchServe TensorFlow Serving FastAPI Hadoop Kafka Hive CI/CD

What you'll do

  • Design and implement machine learning solutions for personalized marketing offers.
  • Optimize and deploy machine learning models in production environments.
  • Develop highly performant code for model performance at scale.
  • Create and maintain CI/CD pipelines for automated model deployment.
  • Conduct training sessions and present work to technical and non-technical peers.
  • Collaborate with cross-functional teams to define strategy and lead experimentation.
  • Use cloud ML services like GCP Vertex AI or AWS SageMaker for deployments.

What we're looking for

  • 3+ years of end-to-end ML application development experience including deployment.
  • MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent.
  • Proficient in Python and experienced with Pytorch, TensorFlow, xgboost, sklearn.
  • Experience deploying ML algorithms into production environments using cloud services.
  • Knowledge of distributed training frameworks like Spark, Ray, TensorFlow Distributed.
  • Strong understanding of Big Data technologies including Hadoop ecosystem tools.

Related searches

More Sr Machine Learning Engineer jobs Sr Machine Learning Engineer jobs in Brooklyn Park All jobs at Target

More like this

Similar roles

Lead Machine Learning Engineer - Merchandising AI (ML Ops)

Target

Remote (7000 Target Pkwy N,Ncd-0375 Brooklyn Park,Mn 55445, US) 13 days ago $132,000–$238,000
Python Google Cloud Vertex AI Kubernetes Docker CI/CD REST API Hadoop Spark Kafka ML Ops Big Data technologies Terraform PostgreSQL MLOps
Remote Hybrid
Save

Sr. Machine Learning Engineer 4

Adobe

San Jose 13 days ago $183,300–$265,350
Python AWS CI/CD MLOps Generative AI Prompt Optimization LLM Evaluation Retrieval-Augmented Generation RAG NLP Pipelines Docker Kubernetes Terraform Prometheus Grafana
Save

Sr Staff Machine Learning Engineer, ML Platform

Apple Inc

New York City, NY 7 days ago $212,000–$386,300
Python TensorFlow PyTorch Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL AWS Azure Google Cloud Platform Federated Learning Differential Privacy Transformers LLMs DNNs Model Pruning Compression Quantization Distillation Agentic AI
Save

Sr Staff Machine Learning Engineer, ML Platform

Apple Inc

Cupertino, CA 7 days ago $212,000–$386,300
Python TensorFlow PyTorch Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL AWS Azure MLOps Federated Learning Differential Privacy LLMs Agentic AI
Save