Intern Machine Learning Engineer

As an Intern Machine Learning Engineer on a 6-month contract, you will help build, test, and deploy ML-powered services on our provider data platform. This is not a pure research role; the focus is on strong software engineering, testing, and robust evaluation rather than novel model architectures.

You will own features end-to-end by collaborating with stakeholders, implementing production-ready code, designing evaluation pipelines, and deploying services on Google Cloud Platform (GCP). This is a fully remote position.

What You’ll Do:

• Design, implement, and maintain ML-driven services and data workflows in Python.
• Apply software engineering best practices, including clean code, testing (unit and integration), code reviews, CI/CD, observability, and documentation.
• Build and maintain evaluation pipelines and metrics to measure model and system performance in production-like environments.
• Deploy and operate ML services on GCP, including tools such as Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage.
• Troubleshoot and improve existing ML services with a focus on reliability, latency, and correctness.
• Collaborate proactively with internal stakeholders across product, operations, engineering, and data teams to clarify requirements and iterate on solutions.
• Communicate clearly about trade-offs, risks, timelines, and results to both technical and non-technical audiences.

What You’ll Need:

• Experience as a Software Engineer or Machine Learning Engineer.
• Strong proficiency in Python and experience building production services.
• Hands-on experience deploying and running workloads on Google Cloud Platform.
• Expertise in writing and debugging SQL queries.
• Strong foundation in software engineering fundamentals, including testing, debugging, version control (Git), CI/CD, and monitoring.
• Experience evaluating ML systems by defining metrics, building evaluation datasets, running experiments, and interpreting results.
• Ability to work independently, take ownership, and drive projects with limited supervision.
• Excellent written and verbal communication skills in English.
• Comfort proactively reaching out to internal stakeholders to understand requirements.

Bonus Points If You:

• Have experience writing code in Java.
• Have built or maintained data pipelines or ETL jobs on GCP.
• Have experience working with healthcare data, compliance requirements, or PII.
• Have used experiment tracking and evaluation tools such as MLflow, Weights & Biases, or custom dashboards.