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 ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages.

3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

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

Experience in Generative AI, Large Language Models (LLMs), Machine Learning, and related frameworks.