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Develops and maintains emulation infrastructure for Google Cloud’s TPU hardware, focusing on verifying complex digital designs and debugging emulation platforms to accelerate AI/ML hardware acceleration.
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and…
Designs and develops backend applications on Google Cloud Platform (GCP) to migrate on-premise systems and build a scalable data platform for credit decisioning, focusing on performance, scalability, reliability, and cost optimization.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations…
Build and maintain MLOps/LLMOps infrastructure on GCP to deploy and scale AI/ML models, collaborating with researchers and engineers to bring experiments into production.
Leads software engineering for Google Compute Engine’s fleet deployment platform, designing and maintaining tools that manage VM and host software updates at massive scale to improve deployment velocity, reliability, and uptime.
Lead AI/ML architecture for healthcare clients, deploying Vertex AI and Gemini to build safe, production-ready GenAI solutions and mentor teams.
Leads network security for Google’s enterprise network, designing security frameworks, automating policy enforcement, and collaborating with teams to mitigate risks while ensuring scalable, secure infrastructure for Google’s global services and cloud offerings.
Lead AI/ML projects for clients, designing and deploying agentic systems, ML models, and cloud-native solutions while advising on technical architecture and delivery at scale.
Leads AI and technology consulting engagements for enterprise clients, designing and delivering scalable AI/ML solutions while managing teams and client relationships in sectors like energy, financial services, and government.
Build and manage cloud-based ML infrastructure, CI/CD pipelines, and containerized AI apps using AWS/Azure/GCP, Docker, Kubernetes, and Terraform on-site in Tokyo.
As a Senior Data Engineer on the Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems, including feature pipelines, streaming event ingestion, training datasets, and real-time feature serving, using Python, Spark, and cloud infrastructure.
Embedded engineering manager who codes, deploys, and scales bespoke GenAI solutions for strategic partners, bridging AI prototypes to production-grade systems while feeding partner insights into Google Cloud’s AI roadmap.
Senior Software Developer working on Applied AI projects at Google, focusing on Gemini Enterprise solutions. Responsibilities include designing, developing, testing, deploying, and maintaining software solutions for cutting-edge AI applications.
Commodity Managers work with Engineering teams to make sure Google has the supplies and equipment to put into production the innovative products coming from our Engineering teams. As a Commodity Manager, you use your…
Principal Insights Analyst leads analytics projects, builds ML models, and translates data into strategic recommendations to enhance customer engagement and marketing outcomes.
Builds production-grade GenAI and agentic AI systems on GCP, including RAG pipelines, embeddings, and ADK-based agents, while designing reliable data pipelines for travel retailing.
Staff ML Engineer designing and scaling Coupang's end-to-end recommendation systems—ranking, retrieval, and relevance models—using Python/Java and large-scale ML on massive real-time datasets.
Designs and scales Coupang’s AI-driven recommendation systems to optimize customer product discovery, driving over half of sales via real-time data insights and algorithmic innovation.
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