Sr Engineer Machine Learning
Share
Job Location:
Brooklyn Park, MN - USA
Monthly Salary:
$ 95000 - 171000
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
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 us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision tolife through our values and culture.Learn more about Target here.
The Fraud Detection and PreventionData Scienceteam builds scalable intelligent systems that safeguard Targets guests and digital channels from fraud and abuse. As aSenior Engineer you will own the end-to-end lifecycle of machine learning solutions from data exploration and feature engineering to model development deployment and continuous improvement through MLOps.
Youll collaborate closely with engineering data and product partners across Target to deliver ML solutions that proactively detect prevent and adapt to emerging fraud patterns across stores and digital platforms.
Core Responsibilities
- Design build and scaleML models for fraud detectionusing supervised unsupervised and deep learning techniques.
- Performexploratory data analysis (EDA)to identify anomalies patterns and emerging fraud behaviors.
- Develop and maintainend-to-end MLOps pipelineson 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 includingLLMs 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.
Tech Stack & Tools
- Languages:Python SQL
- Frameworks:TensorFlow PyTorch Scikit-learn
- Data & Platforms:GCP Vertex AI PySpark BigQuery Hadoop Hive
- MLOps & Automation:MLflow Airflow CI/CD frameworks
- Collaboration:GitHub JIRA cross-functional partnerships with Engineering Data Platform and Fraud Investigations
Experience & Qualifications
- Advanced degree (Masters or PhD) in Computer Science Data Science Statistics Mathematics or a related field
- 58 years of hands-on experience indata 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 deployproduction ML modelsfrom experimentation to production.
- Strong experience withMLOps and pipeline automationusing cloud platforms (GCP / Vertex AI preferred).
- Proficiency in data cleaning preprocessing and augmentation techniques to ensure high-quality training data
- Experience infraud detection anomaly detection or risk modelingpreferred but not required.
- 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.
This position will operate as aHybrid/Flex for Your Daywork 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 MN 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. Clickhereif you are curious to learn more about Minnesota.
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 Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
1234 employees
Target Corporation is an American retail corporation. The eighth-largest retailer in the United States, it is a component of the S&P 500 Index.
