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Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Build and maintain Google’s Data Engineering Console, a monitoring platform for petabyte-scale data pipelines and agentic systems powering Ads, YouTube, and AI research.
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Build and maintain scalable Databricks pipelines (Delta Lake, Spark SQL, MLflow) to integrate and transform data for large-scale analytics and ML projects.
Build and harden ML models that detect prompt-injection and other AI security threats across languages and data types, using NLP and vision techniques in production.
Build and scale LLM-powered AI agents and RAG systems for a digital bank, focusing on secure, observable microservices and production-grade AI workflows.
Lead a team building generative AI and deep learning models (NLP, computer vision) to solve business problems across claims, marketing, and other departments.
Builds Android features for Google Wallet, the digital wallet app handling payments, tap-to-pay, and credential storage for millions of users.
About the Role As a Product Owner on MCO’s eComms Compliance team, you will own the roadmap for a new scrum team dedicated to AI feature development across our communications surveillance and archiving solutions, which…
Lead architecture and development of Google’s ML network fabrics, building distributed control-plane software and agentic SDLC workflows to power next-gen AI infrastructure at hyperscale.
Build and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, and cloud platforms (AWS/Azure/GCP) for AI-driven projects.
Senior Data Engineer builds and maintains scalable data pipelines, optimizes cloud-based data models, and deploys solutions using AWS/Azure/GCP, Python, and SQL.
Designs and runs tests for AI-driven chat systems, data pipelines, and APIs, automates validation in Python, and works with ML teams to set quality benchmarks for conversational agents.
Lead a team of embedded software engineers to develop drivers and tools for silicon validation on ISP and camera systems, ensuring code quality and aligning technical goals with product strategy.
Lead a team of engineers building and scaling Google Cloud’s identity and access management systems, reviewing code and guiding technical strategy for large-scale security infrastructure.
Build and deploy AI models to improve media readership, ads, and content recommendations using Python, LLMs, and GCP.
Build and deploy ML systems and AI software for clients using LLMOps, deep learning, and predictive algorithms on Azure.
Design and deploy scalable AI/ML solutions, including LLM, NLP, or computer vision models, while building data pipelines and mentoring junior engineers.
Designs and refines prompts for LLMs like ChatGPT and Azure OpenAI to power AI apps, automations, and chatbots that improve productivity and user experiences.
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
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