Software Engineer, Search AI, Search Quality

Software Engineer, Search AI, Search Quality

Google Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with programming in Python and C++, or 1 year of experience with an advanced degree.
• 2 years of experience in large-scale distributed data processing.
• 1 year of experience with Natural Language Processing (NLP) concepts or techniques.
• 1 year of experience with Machine Learning, Deep Learning.

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience working in an organization involving cross-functional, or cross-business projects.
• Experience in Search Quality and Machine Learning.
• Experience with JAX or Tensor Flow.
• Understanding of Applied deep learning with large language models, including with prompting, Reinforcement Learning from Human Feedback (RLHF) and supervised fine-tuning.

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.

Join a transformative project to overhaul the Google Search stack, ensuring Large Language Models (LLMs) and machine learning are core components.

In this role, this position requires close partnership with various engineering teams, including those working on embedding Retrieval Engine (RE) and other key Search systems. You'll be at the forefront of applying AI research to enhance products used by many users contributing significantly to both AI advancements and the new Search architecture.

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.

• Address testing research and engineering problems of GenAI with potential and for immediate real-world user impact for current and emergent query streams.
• Conduct applied research figuring out research developments best suited to solve open-ended problems.
• Break down problems to make iterative progress.
• Build end-to-end Machine Learning (ML) systems spanning data, modeling, evaluation and serving and search scale.
• Build a comprehensive understanding of the search stack, evaluation metrics, query sets and philosophy of improving search quality and presentation.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.