Write product or system development code.

Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

Bachelor’s degree or equivalent practical experience.

2 years of experience programming in Python and C++.

1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).