Description

As the Machine Learning Engineer, you design and develop scalable systems and frameworks to support the deployment, monitoring, and governance of machine learning models. This role acts as a bridge between data science and production, enabling reproducible, auditable, and high-performing ML workflows across the organization.

About the role

• Partner with data scientists to productionize models and design model training, testing, and deployment pipelines
• Develop automated CI/CD workflows for machine learning using tools like GitHub Actions, CircleCI, or similar
• Implement observability, logging, and alerting frameworks for deployed models and services
• Build and maintain reusable components including feature stores, model registries, and experiment tracking systems
• Participate in architecture and code reviews to ensure scalable and maintainable ML systems
• Optimize inference pipelines for latency and throughput in real-time and batch settings
• Collaborate cross-functionally with governance, cloud infrastructure, and platform teams
• Contribute to internal documentation, onboarding resources, and reusable templates for ML teams

About you

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience
• 2+ years of experience in ML engineering, MLOps, or backend software development
• Strong programming skills in Python, with experience using ML libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience deploying ML models into production environments
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Familiarity with experiment tracking and model registry tools such as MLflow or SageMaker Model Registry

Preferred Qualifications

• Experience with AWS SageMaker for model training and deployment
• Exposure to feature engineering tools and real-time feature stores
• Familiarity with orchestration tools used for scheduling data workflows and managing ML pipelines
• Understanding of model monitoring, data drift detection, and continuous retraining strategies
• Experience collaborating with data scientists to templatize reusable pipelines
• Proficiency in SQL and working with structured and unstructured data

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

Rocket Mortgage® was founded in 1985. Today, we're a Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams. We're known as experts in the mortgage industry, but we're also innovators - we strive to create the best experiences for our clients from beginning to end. And we're not your typical employer. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.

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] .