Software Engineer, Search Discover, Machine Learning

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred Qualifications:

• Master’s or PhD degree in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Feed Recommendation team connects users with the world's most relevant and engaging content. We own the end-to-end experience for Google's feed products, from content understanding to developing retrieval, ranking, and personalization models.

In this role, your mission is to identify technical issues end to end and drive end to end solutions across our feed retrieval and ranking work streams. You will develop and deploy LLMs and multi-modal systems to recommend content at focusing on extracting signals and ensuring Machine Learning (ML) system scalability. You will need to have experience with similar large-scale recommendation platforms (e.g., YouTube, TikTok).

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $248,000-$349,000 + 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 $248,000-$349,000 + 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

• Provide technical leadership on projects.
• Manage project priorities, deadlines, and deliverables and advance key content domains, such as; extracting structured information (e.g., suitable for vegetarians or meat lovers) from unstructured text and using signals from text, images, and video for multi-modal understanding (e.g., extract useful signals from mixed-format story clusters).
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions and collaborate with partner teams and cross function partners to integrate the content signals into production retrieval, ranking, and personalization systems.
• Develop and deploy models, including Large Language Models (LLMs) and multi-modal systems, to analyze, classify, and enrich content and conduct applied research on novel modeling techniques to solve concrete issues in content understanding, such as identifying nuanced topics, assessing content quality, and understanding User Generated Content (UGC).