Senior Software Engineer, AI/ML, YouTube

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

Responsibilities

• Learn more about benefits at Google
• 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

Requirements

• Minimum qualifications: 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
• 1 year of experience with software design and architecture
• 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)

Qualifications

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

Skills

• Software engineering
• Product or system development
• Collaboration with peers and stakeholders
• Design and implementation of solutions in specialized ML areas
• Leverage ML infrastructure
• Expertise in a chosen field of ML

Benefits

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training
• US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Pay

• US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Schedule

• Not specified