Software Engineer, Machine Learning, Google Chat

Staff Software Engineer, Machine Learning, Google Chat

Google Sunnyvale, CA, USA

• 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.

• 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.

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 will be 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.

• Lead the shift from reactive manual triage to an AI‑scaled, automated evaluation loop, architecting the pipeline and bridging unstructured user feedback to verifiable CI/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 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 for NLU bugs, dropping feature development life cycles from weeks to hours.
• Optimize 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 Deep Mind, Core Machine Learning, Product Managers, and other Workspace pillars.

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.

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