Senior Software Engineer, AI/ML GenAI, Core

About the Role

Key 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.

Requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 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 state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to Have

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

Qualifications

• Educational background includes a Bachelor's degree or equivalent practical experience.
• Experience with software development, testing, maintenance, and architecture.

Benefits & Perks

• US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits.
• Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
• Additional benefits include bonus, equity, and other perks as outlined by Google.