Write and test 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.

Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Bachelor's degree or equivalent practical experience.

8 years of experience programming in C++.

5 years of experience testing, and launching software products.

5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

3 years of experience with software design and architecture.

3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).