Target · 14 hours ago
Sr Engineer - Machine Learning
Brooklyn Park, MN
Full-time
Hybrid
Senior Level
$98K/yr - $176K/yr
5+ years expTarget is a company focused on helping all families discover the joy of everyday life. They are seeking a Senior Engineer to own the end-to-end lifecycle of machine learning solutions for fraud detection and prevention, collaborating with cross-functional teams to deliver effective ML solutions.
CommunitiesE-CommerceRetailShopping
Responsibilities
Design, build, and scale ML models for fraud detection using supervised, unsupervised, and deep learning techniques
Perform exploratory data analysis (EDA) to identify anomalies, patterns, and emerging fraud behaviors
Develop and maintain end-to-end MLOps pipelines on Vertex AI and GCP — including training, evaluation, deployment, and monitoring
Partner with cross-functional teams — Engineering, Data Engineering, Investigations, and Product — to operationalize fraud models and translate insights into prevention strategies
Research and prototype new detection techniques, including LLMs, anomaly detection, and behavioral modeling
Lead technical design reviews, mentor junior data scientists/engineers, and uphold best practices through code reviews and technical sessions
Maintain strong documentation and model governance, ensuring reliability, reproducibility, and scalability across the ML platform
Qualification
Required
Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, or a related field
5–8 years of hands-on experience in data science, ML engineering, or applied machine learning with a proven track record of developing and deploying machine learning models
Proven ability to build, scale, and deploy production ML models from experimentation to production
Strong experience with MLOps and pipeline automation using cloud platforms (GCP / Vertex AI preferred)
Proficiency in data cleaning, preprocessing, and augmentation techniques to ensure high-quality training data
Excellent programming and collaboration skills; able to bridge the gap between data science, engineering, and business
Familiarity with deep learning architectures like CNNs, GANs, and transformers
Expertise in tuning hyperparameters (e.g., learning rate, batch size) to optimize model performance
Evaluate model performance using metrics such as accuracy, precision, recall, and F1 score. Conduct error analysis and optimize models accordingly
Strong problem-solving skills, passion for solving interesting and relevant real-world problems using a data science approach
Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Strong team player with ability to collaborate effectively across geographies/time zones
Preferred
Experience in fraud detection, anomaly detection, or risk modeling preferred but not required
Benefits
Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation
Company
Target
Target is a retailing company providing access to a wide selection of products such as furniture, electronics, toys, and others.
10001+ employees
H1B Sponsorship
Target has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (2)
Funding
Current Stage
Public CompanyTotal Funding
unknown2007-12-01Post Ipo Equity
1978-01-13IPO
Leadership Team
Jim Lee
EVP and Chief Financial Officer
Michael Fiddelke
EVP and COO
Recent News
Android Authority
2026-02-05
2026-02-02
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