Google

Research Software Engineer focused on developing foundational models and core technologies for synthesizing reality, particularly human body, face, and related components, to power machine learning, build better products, and enable next-generation user experiences, with applications in AR and XR devices. The role involves developing algorithms for 3D body shape estimation, rigging, skinning, and physics-based generative animation conditioned on multimodal inputs, with a requirement for publication in AI conferences.

Visiting Faculty Researcher at Google focusing on AI Personalization. The role involves proposing novel ideas for models that learn continuously from user interactions, adapt with minimal data, and deploy efficiently on personal devices. This research position emphasizes contributing to the academic community through publications and collaborating on research proposals, while also influencing product development with potential applications in generative AI, prompt engineering, and personalization.

Senior Applied ML Engineer focused on Graph Neural Networks within the ML Frontiers team, collaborating on LLM agents and decision forests. The role involves feature development, research exploration, and client collaboration, bridging pioneering models with enterprise solutions.

Software Engineer III, Machine Learning, Research and Products at Google Cloud, focusing on developing and scaling LLM & RAG agents. This role involves writing product/system code, implementing ML solutions, optimizing models, and contributing to data processing, with a minimum of 1 year of experience in Generative AI, Agents, or LLMs.

Google is seeking a Software Engineer III, AI/ML for their YouTube Shopping team in Zurich. The role involves designing, implementing, and deploying ML models for tasks like Product Detection and Video Classification, building training data pipelines, and ensuring model performance through evaluation frameworks. The engineer will also contribute to the back-end infrastructure for efficient model serving at scale and implement solutions in specialized ML areas.

Google is seeking a Software Engineering Manager for their Automotive AI Agent team in Zurich, Switzerland. This role involves leading a team to architect and deploy a Gemini-native platform for AI-defined vehicles, focusing on LLM-native orchestration, bidirectional streaming, and omnichannel SDKs. The manager will drive production reliability, partner with OEMs to translate requirements like multi-agent orchestration, and use a data-driven approach to improve driver experience. The role requires strong experience in managing software engineering teams, distributed systems, cloud APIs, and AI/ML technologies, particularly LLMs.

Software Engineer III at Google, focusing on implementing Generative AI solutions. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Key responsibilities include implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with ML infrastructure and GenAI techniques like LLMs and Multi-Modal models.

Software Engineer II on the Account Threats Detection team at Google Core, focusing on building and operating the ML ecosystem for transformer-based account activity models. The role involves implementing ML pipelines for experimentation, training, validation, and deployment, as well as analyzing model drift and collaborating with partners to integrate threat detection solutions.

Senior Software Engineer on the Automotive AI team, focusing on building and integrating Gemini enterprise conversational agents into automotive products. This role involves developing AI/ML technologies, LLMs, and NLU infrastructure, with a strong emphasis on large-scale deployment and reasoning capabilities.

Product Manager for an Automotive AI Agent Platform, focusing on building voice and multimodal interfaces for machine learning systems in the automotive industry. The role involves managing the platform, collaborating with engineering on SDKs for OEMs, understanding customer requirements, defining the roadmap, and bringing new features from research to customers.

This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders.

Software Engineer III at Google YouTube, focusing on Trust and Safety for livestreams. The role involves analyzing content gaps, building multi-modal classifiers (video, image, audio, transcripts, metadata) using machine learning, and productionizing these solutions. Requires experience in applied ML, Python, and handling large-scale systems.

Senior Software Engineer role focused on applying Operations Research and Machine Learning techniques to enhance Gemini and improve developer workflows with optimization agents. The role involves building technology to solve complex optimization problems and democratizing optimizations through new surfaces.

Software Engineer III at Google's YouTube Trust and Safety team, focusing on building classifiers and applying ML methods to improve automatic content detection and address trust and safety challenges. The role involves analyzing content understanding gaps, orchestrating signals from expert models, and productionizing ML solutions.