Senior Software Engineer, Discover Recommendations and AI Feed

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.
• Manage end-to-end modeling for the whole personalization flow including retrieval, ranking, user understanding, and prediction for search notification.
• Experiment with novel signals, labels, architectures, policies and training regimens.
• Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.
• Innovate of adapting recommendation algorithms towards new applications and new surfaces.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Requirements

• Minimum qualifications: Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience with building Deep Learning models with the core TensorFlow, PyTorch, or JAX.

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

• Experience with building Deep Learning models with the core TensorFlow, PyTorch, or JAX.
• Experience with building architecture.

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