Machine Learning Software Engineer Intern

Rocket Mortgage

internship

Posted on: 9/26/2025

Location Type: Remote

Location: Remote • 🇨🇦 Canada

✨ AI Apply

💰 $10 - $28 per hour

Entry Level

AirflowAWSCloudDockerKafkaLinuxNumpyPandasPythonScikit-LearnSQL

About the role

Set up and test connections between SageMaker, MLflow, and the feature store
Select an internal or public dataset for a classification/regression task
Engineer features, register them in the feature store, and document schema/lineage
Train and version a baseline ML model (e.g., XGBoost or sklearn) in SageMaker
Log metrics, artifacts, and parameters in MLflow; register the model for deployment
Deploy the model to a dev endpoint and create a basic monitoring dashboard (Dynatrace)
Write clear documentation so future interns/new hires can replicate the workflow
Collaborate within the Rocket Innovation Studio team and participate in the spirit of collaboration

Currently pursuing MS/PhD in CS, DS, EE, or related field
Strong Python (pandas, NumPy, scikit‑learn)
solid SQL
Git proficiency; comfort with code reviews and branching (GitHub/GitLab)
Knowledge of ML lifecycle: data prep, training, validation, packaging, inference
Linux/CLI fluency; scripting mindset and attention to reproducibility
Fundamentals in testing (unit/integration) and debugging
Clear written communication; concise documentation
Exposure to AWS (S3, IAM, Lambda/ECS/EKS, SageMaker) or equivalent cloud ML Ops tooling: MLflow, feature stores, model registry, experiment tracking (preferred)
CI/CD familiarity (GitHub Actions/CircleCI) and artifact/version management (preferred)
Containers & packaging: Docker, Makefiles, pyproject; REST basics (preferred)
Monitoring/observability concepts; experience with Dynatrace (preferred)
Data pipelines (Airflow/Step Functions) and eventing (SQS/Kafka) (preferred)
Security & governance basics: PII handling, access controls, auditability (preferred)
Practical experience from coursework/projects/internships open‑sourced or well‑documented (preferred)

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonpandasNumPyscikit-learnSQLGitML lifecycleLinuxDockerCI/CD

clear written communicationconcise documentationcollaborationattention to reproducibility

MSPhD