Requirements

You have experience building full-stack systems using UI frameworks like React.
You have strong programming skills in JavaScript/TypeScript, Node.js.
You have the ability to learn and use in-house software framework/components/services to build solutions effectively.
You have experience maintaining and improving legacy systems and can evaluate and discuss tradeoffs regarding refactoring, rebuilding, and buying.
You proactively communicate with cross-functional teams to drive projects and promote best practices in Web UI development.
You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.
You have experience working with teams distributed across multiple time zones.

Nice to Haves

You have experience working with the public cloud, like AWS, Azure, or GCP.
You have knowledge of ML model lifecycle management to build end-to-end visualizations spanning development, deployment, and monitoring of ML models.

Observability dashboard and corresponding backend system to integrate with various MLP products to enable ML practitioners to explore and discover ML entities (models, features, embeddings, pipelines, etc.) and monitor and operate them effectively.
Collaborate with cross-functional teams to implement anomaly and drift detection visualization on models, features, embeddings, etc.
Cost monitoring and chargeback dashboards to provide visibility into resource utilization and identify opportunities for efficiency improvements.
Enhance our user interfaces to provide intuitive and seamless experiences for ML practitioners, incorporating feedback and best practices to improve usability and adoption.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.