Software Engineer, Artificial Intelligence

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
• 1 year of experience working with two or more from the following: Artificial Intelligence, Machine Learning, distributed and parallel systems, networking, developing large-scale software systems, privacy or wipeout, and security software development.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical fields.
• 2 years of experience with data structures or algorithms in an academic or industry setting.
• Ability to build Google-scale services.
• Ability to work separately and contribute to project direction.

About the job

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. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Leverage Artificial Intelligence (AI) models to personalize results for Google's AI applications.
• Implement advanced retrieval techniques (e.g., embeddings, vector databases) to ensure the related data is fetched.
• Scale data processing infrastructure to ingest user data from multiple sources.
• Develop compliance solutions by integrating with frameworks and adhering to data security and privacy standards, while promoting relationships with infrastructure teams.
• Drive productionization and reliability efforts, including production readiness, privacy and security reviews, configuration management tooling, and resource acquisition.