Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with programming in Python and C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., Language Modeling, Computer Vision).

Nice to Haves

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 GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Opportunity to work on next-generation technologies.
Collaborative environment with opportunities to switch teams and projects.
Career growth and development in a fast-paced business.
Work at the intersection of cutting-edge technology and boundless creativity.
Ability to share stories, explore passions, and connect with a global community.