Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in Python.
- 3 years of experience building and deploying recommendation systems models
(retrieval, prediction, ranking, personalization, search quality,
embedding) in production; and experience building architecture. - 3 years of experience testing, maintaining, or launching software products and 1 year of experience with software design and architecture.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience developing and optimizing deep learning algorithms
and architectures. - 3 years of experience with machine learning algorithms and tools (e.g. JAX, TensorFlow, deep learning, natural language processing, LLM based applications, LLM finetuning, etc.).
- Experience with user understanding and personalization and a passion for diving deep into recommender systems.
- Strong software development experience with a high level of mathematical aptitude, demonstrated problem-solving skills, and proven logical, problem-solving, and investigative thinking.
About the jobGoogle'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.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Innovate on the methodology of understanding user's interests. Develop and apply techniques for content retrieval.
- Collaborate with partners and teammates to understand the user problems and opportunities for applying personalization.
- Work with the large-scale user data to generate desired training data in a reliable and scalable manner. Implement and experiment with different state of art ML algorithms and model architectures, including but not limited to LLM, deep learning, distillation, etc.
- Iterate on the model quality via evaluations, demonstrations and live experiments to realize positive product impacts. Leverage the user understanding model to retrieve content across content formats (articles, posts, videos, AI generated content, etc.).
- Integrate models/components with Discover stack to ensure system efficiency and effectiveness. Take full ownership of projects, including ideation, implementation, analysis, and maintenance.
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