Highlights
Lead the shift from reactive manual triage to an AI-scaled, automated evaluation loop, while architecting the pipeline, bridging unstructured user feedback to verifiable Continuous Integration (CI)/Continuous Delivery (CD) code mutation by exploring and driving new techniques. In this role, you will be a part of the Chat Back-end team, building and shaping the critical AI infrastructure that powers Google Chat, one of the fastest-growing products within Google Workspace and a platform transforming how billions of people communicate and collaborate.
Numbers & Facts
| Location | Sunnyvale, CA |
| Industry | Computer Software |
| Company Size | 10,000 employees or more |
| Year Founded | 1998 |
| Website | https://goo.gle/4dbno6V |
Description
Minimum qualifications:
- Bachelor’s degree in Computer Science, Artificial Intelligence, or equivalent practical experience.
- 8 years of software engineering experience.
- 5 years of experience leading technical strategy and architecting large-scale ML infrastructure and distributed systems.
- Experience managing the full ML development life-cycle, from hypothesis and data collection to fine-tuning, evaluation, and post-production monitoring.
- Experience building, optimizing, and deploying Generative AI systems in production (e.g., Large Language Model (LLMs), RAG, Agentic workflows) with a focus on latency and cost.
- Experience designing scalable database solutions using Cloud Spanner or similar globally distributed databases.
Preferred qualifications:
- Master’s degree or PhD in Computer Science, Machine Learning, Computer Engineering, or a related highly technical field.
- Experience optimizing Inference cost (TPU/GPU) and latency for real-time, user-facing applications (e.g., quantization, caching, speculative decoding).
- Experience in Retrieval Augmented Generation (RAG) architectures, including vector search, embedding optimization, and semantic retrieval strategies.
- Ability to influence technical roadmaps across organizational boundaries (e.g., partnering with Research/Core ML teams) and translating research into reliable product features.
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
In this role, you will be a part of the Chat Back-end team, building and shaping the critical AI infrastructure that powers Google Chat, one of the fastest-growing products within Google Workspace and a platform transforming how billions of people communicate and collaborate.As a part of a team evolving into an intelligent, agentic collaboration partner for the enterprise, you will contribute to establishing AI as the foundation of enterprise collaboration by architecting Agents in Chat and developing foundational, next-gen GenAI capabilities, including Universal Knowledge Graph, Embeddings, Personalized Assistant, RAG-based Search, AI Overviews, and Agentic Workflows, while bridging the gap between generative AI research and production-grade distributed systems.
AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.Responsibilities
- Lead the shift from reactive manual triage to an AI-scaled, automated evaluation loop, while architecting the pipeline, bridging unstructured user feedback to verifiable Continuous Integration (CI)/Continuous Delivery (CD) code mutation by exploring and driving new techniques.
- Own the technical roadmap for retrieval augmented generation, driving Recall@100 and eliminating hallucinations by integrating advanced new-generation embedding-based retrieval (EBS), cross-corpus signal ingestion, and vector search methodologies.
- Automate manual hill-climbing with data-driven frameworks, aiming a reduction in Time-to-Resolution (TTR) for Natural Language Understanding (NLU) bugs, dropping feature development life-cycles from weeks to hours.
- Optimize the performance and efficiency of the AI stack, leading initiatives to reduce inference costs through TPU/GPU utilization improvements and minimizing end-to-end latency for real-time features.
- Act as the primary technical liaison with Google DeepMind, Core Machine Learning, Product Managers and other Workspace pillars.
Benefits
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
About Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.
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