Location: Sunnyvale, CA
Company: Google
offer search as an integral part of their user experience. We have a unique opportunity to transform this market, enabled by Google's differentiation in search and generative AI. Google Cloud AI has responded with Vertex AI Search, a platform and solution suite with the mission to provide Google quality search and generative capability as a cloud service.
Vertex AI Search empowers enterprise developers to quickly ingest their data through APIs and seamlessly integrates advanced AI powered search capabilities out of the box, including semantic retrieval and ranking, generative summarization, and multi-turn search. We seek to empower enterprises to build their own search experiences by
offering differentiated Vertex AI Search platform components, such as Vector Search, Document Understanding, and more. As a Principal Engineer, you will drive the technical strategy, architectural design, and execution of quality in Vertex AI Search.
You will utilize your technical expertise to lead the development of retrieval and ranking systems. You will have proficiency in applying machine learning and embedding technologies to improve ranking quality and a passion to innovate LLM to advance search result summarization and multi-turn conversational search. Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform,
industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $271,000-$399,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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. Minimum qualifications: 15 years of experience in software development, or 10 years with an advanced degree in Computer Science, Mathematics, Statistics, or Engineering.
5 years of experience in driving technical collaboration across multiple teams and organizations. Experience building and improving Information Retrieval and Ranking, Machine Learning, Embedding systems. Preferred qualifications: Experience in indexing, retrieval, and ranking stacks. Understanding of LLM fine-tuning, distillation, data generation, and prompt engineering across a large variety of tasks. Ability to work cross-functionally, partnering with groups (e. g. Sales, Engineering, Product Management, Product Marketing, UX and UI), and brokering trade-offs with stakeholders and understanding their needs.
Outstanding narrative and storytelling skills that propel usage, adoption, and market momentum. - Develop a strategic outlook for the Cloud AI organization to innovate high quality and scalable retrieval and ranking solutions. - Design, build, and deploy search and summarization solutions which leverage the latest LLM technologies to improve relevance ranking, grounding factuality, and summarization and conversation quality. - Drive the latency, robustness, and scalability of the ranking system, and provide guidance to improve retrieval and ranking latency and throughput by making best use of Google's GPU/TPU and Machine Learning infrastructure.
- Establish an innovative product and research agenda. Initiate and lead collaborations across product areas to advance search quality. - Advise on A/B testing and experimental frameworks. Drive the adoption and building of comprehensive benchmarks to quantify our search quality, gap, and differentiation. Requisition #: 92248489200624326pca3lyuhf
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining systems or structures. These positions often require strong problem-solving skills, technical expertise, and a solid foundation in mathematics and science. Engineers typically work in fields such as civil, mechanical, electrical, chemical, or software engineering. The unique characteristic of engineering jobs lies in their blend of creativity and practicality, as engineers innovate while ensuring functionality and safety. With the ongoing advancement of technology, engineering roles are also evolving, demanding continuous learning and adaptation.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
