Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience with machine learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, or debugging).
• 1 year of experience with Generative AI (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision).
• 1 year of experience with software design, architecture, and machine learning.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience developing cloud-based storage systems.
• 5 years of experience with data structures and algorithms in a data ML-focused role.
• 2 years of experience with security engineering, computer and network security.
• Experience working on Google Cloud Platform (GCP).

About the job

Responsibilities

• 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.