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Mr. Cooper, 2025 Summer Intern Program - Machine Learning Engineer (DFW) - Application via WayUp

WayUp
WayUp Salary
Dallas, TX Intern
POSTED ON 3/12/2025
AVAILABLE BEFORE 4/12/2025
This role is with Mr. Cooper. WayUp is partnering with Mr. Cooper to hire top talent.

At Mr. Cooper Group, You Make the Dream Possible.

Our purpose is simple: Keeping the dream of homeownership alive. As a Mr. Cooper Group team member, you play a big role in making that dream possible. Around here, we know our roles and work together, volunteer to make a difference, and challenge the status quo when needed. Everything we do is in the care and service of our teammates and our customers.

Join us and make the dream of home ownership possible!

Mr. Cooper's summer internship program offers college students the chance to discover what it's like to work at a leading financial services organization. Our interns deliver innovative solutions to real business challenges and build enduring relationships with their manager and an assigned mentor. While gaining insight into the industry, interns are immediately part of Mr. Cooper's collaborative culture. Spend your summer at Mr. Cooper and gain a career where you can make a difference! Our summer internship program begins in June 2025 and ends in August 2025.

The Machine Learning Engineer Interns will have access to a wide range of projects and opportunities to apply their skills in real-world scenarios. They will gain hands-on experience and enhance their knowledge in their field of interest. Interns will work alongside a team of experienced professionals who are passionate about mentorship.

Roles and Responsibilities

  • Collect, clean, and preprocess data from various sources, ensuring it is ready for machine learning tasks. This may involve handling missing values, outliers, and data normalization
  • Assist in developing and training machine learning models using programming languages like Python or tools like TensorFlow and scikit-learn
  • Evaluate model performance and make necessary adjustments
  • Contribute to feature selection and engineering to enhance the predictive power of machine learning models.
  • Explore different data transformations and representations
  • Create visualizations to communicate data insights and model performance
  • Prepare reports summarizing findings and recommendations for stakeholders
  • Collaborate with data scientists and machine learning engineers to gain exposure to advanced machine learning techniques and tools
  • Continuously learn and stay updated on the latest developments in the field

Basic Qualifications

  • Be enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university or have graduated within one year of start date (June 2025)
  • Majoring in computer science or a related field
  • Proficiency in programming languages commonly used in machine learning, such as Python
  • Strong understanding of data analysis and statistics, including concepts like data cleaning, hypothesis testing, and basic statistical modeling
  • Familiarity with the fundamentals of machine learning, including supervised and unsupervised learning, model evaluation techniques, and feature engineering
  • Candidates must have authorization to work permanently in the US without the need for sponsorship (Currently, our organization is unable to support candidates that are on OPT, CPT or candidates that will need sponsorship, now or in the future)

Preferred Qualifications

  • Ability to communicate effectively
  • Local to DFW

Mr. Cooper Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a protected veteran. EOE/M/F/D/V

Job Requisition ID:

023219

Job Category:

Administrative Services

Primary Location City:

Dallas

Primary Location Region:

Texas

Primary Location Postal Code:

75019

Primary Location Country:

United States of America

Additional Posting Location(s):

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