Principal Engineer, Search Verticals - Google
Sunnyvale, CA
About the Job
Minimum qualifications:
- 15 years of experience in software development, or 10 years with an advanced degree in Computer Science, Machine Learning, Data Mining, or Engineering.
- 5 years of experience in driving technical collaboration across multiple teams and organizations.
- Experience building and iterating on Information Retrieval and Ranking, Machine Learning, and Embedding systems.
- Experience in generative AI development workflows, use cases, and concepts (e.g., LLMs, fine tuning, distillation, function calling and orchestration).
Preferred qualifications:
- Experience building and designing large scale enterprise APIs.
- Experience in applying AI solutions and ML-related technologies to solve real-world AI/ML problems in consumer or enterprise applications.
- Understanding of AI principles, GDPR, and DMA.
- Ability to identify emerging trends in Search and AI, and translate them into actionable strategies.
- Excellent thought-leadership, relationship building, and management skills, with internal stakeholders and external partners.
About the job
With 20+ years of non-stop innovation in the search space, “Google” has become a verb that simply means search. The recent advancement in LLM and generative technologies has made the search experience even better, as demonstrated by new Search Generative Experience (SGE, now externally known as AI Answers) with summarization and multi-turn search capabilities. Yet not every search happens at Google.com – there are a great number of websites and desktop and mobile applications across many industries that have search as an integral part of their user experience, including retail, travel, media, healthcare, automobile, and real estate
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, Search Verticals, you will drive the technical strategy, architectural design, and execution of our suite of products targeted for Vertical Search (e.g., Retail, Media, Healthcare, Website Search, and more).Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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 $278,000-$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 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.
Responsibilities
- Develop a strategy for the Cloud AI organization to innovate high quality, secure, scalable, and cloud compliant search and generative solutions that can be adopted by enterprises across different industries.
- Design, build, and deploy search and summarization solutions that can leverage the latest LLM and grounding technologies to improve information discovery and conversation efficiency and experience.
- Drive the latency, robustness, and scalability of the search system, and provide guidance on how to improve retrieval and ranking latency and throughput by making best use of Google’s GPU/TPU and ML infrastructure.
- Establish an innovative product and research agenda. Initiate and lead collaborations across product areas to advance search and generative technologies and deliver the best search solution experience to enterprise customers.
- Interface with our customers and account teams to own the success of Vertical Search solutions.
