Interns at the Rock Family of Companies gain priceless hands-on experience. Here, they learn how it feels to be in the workplace, participate in events and become a valuable member of our team.

About the role

• Learn about our business by attending meetings, huddles and trainings.
• Share creative ideas that will help improve our business.
• Deliver reports, analyze metrics and summarize information to help drive our team forward.
• Assist in creating materials and/or presentations for meetings.
• Take notes during meetings and provide recaps.
• Collaborate with data scientists and data engineers to build, evaluate, and refine AI and machine learning models, with a focus on large language model (LLM) applications and retrieval-augmented generation (RAG) pipelines.
• Assist in designing and implementing data preprocessing, feature engineering, and model evaluation workflows.
• Write clean, well-documented code in Python (or other relevant programming languages) to support data analysis, model prototyping, and automation tasks.
• Leverage AI-powered coding and productivity tools (e.g., Claude Code, GitHub Copilot) to accelerate development and maintain code quality.
• Partner with internal clients and business stakeholders to understand requirements, translate business questions into analytical frameworks, and communicate findings clearly.
• Perform exploratory data analysis and apply statistical methods to extract insights from structured and unstructured data sources.
• Query and manipulate data from relational databases and other data stores to support analysis and model development.

About you

• Currently pursuing a Bachelor's (Senior Level) or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Foundational understanding of large language models (LLMs), including concepts such as prompt engineering, fine-tuning, embeddings, and token-based architectures.
• Familiarity with retrieval-augmented generation (RAG) patterns and their application in building context-aware AI systems.
• Solid grounding in basic statistics and probability, including hypothesis testing, regression analysis, distributions, and exploratory data analysis.
• Hands-on programming experience in Python (preferred) or another language commonly used in data science (e.g., R, SQL, Julia).
• Working knowledge of relational databases and SQL for data querying and manipulation.
• Experience with or willingness to adopt AI-assisted coding tools such as Claude Code, GitHub Copilot, Cursor, or similar.
• Experience with machine learning libraries and frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face Transformers.
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker).
• Experience with version control systems (Git) and collaborative development workflows.
• A portfolio of personal projects, coursework, or open-source contributions demonstrating applied data science or AI work.

What you’ll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks.

About us

We are Xome, a subsidiary of Rocket, and a leading innovator in the real estate industry, committed to transforming the way people buy and sell homes. Our company headquarters is in Lewisville, Texas. We leverage cutting-edge technology to streamline the real estate process, making it more transparent, efficient, and user-friendly. Our platform connects buyers and sellers directly, offering comprehensive property data, seamless real estate auction transaction capabilities, and expert support to ensure a smooth experience from start to finish. Now, you might be wondering; how exactly do you pronounce Xome? Simple. ZOM (like home, if it started with a z)!

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time.  Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law.  The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws.  Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at [email protected].

Illinois, Maryland, Minnesota, Massachusetts, Colorado, Cleveland, New York City, New Jersey, Jersey City, California, D.C and Washington Candidates only: the compensation for this position is $10.23-$27.82​. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here.

The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.

Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.