Senior Staff Machine Learning Software Engineer for Google's Feed Recommendation team, focusing on identifying and solving technical challenges in content retrieval, ranking, quality, and personalization. The role involves developing and deploying models, including LLMs and multi-modal systems, to analyze and recommend content at a massive scale for billions of users. This position requires driving end-to-end solutions and advancing key recommendation domains.

Security Engineering Manager for Google's Trust and Safety team focused on Gemini and Labs generative AI products. The role involves leading strategy, research, and execution to combat novel GenAI threats, providing technical leadership in cyber-security, intelligence, and threat analysis, and mentoring a team to build defenses against the misuse of generative models and agents. Responsibilities include identifying risks, translating insights into mitigation goals, providing technical leadership for anti-abuse defenses, leading adversarial simulations and assessments, and directing incident response.

Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale GenAI solutions within Google Ads. This role involves technical leadership, ML infrastructure optimization, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models.

Senior Software Engineering Manager for Google Cloud AI Research, responsible for leading teams, setting technical strategy, and overseeing the design and implementation of large-scale ML infrastructure and solutions across specialized ML areas, with a focus on research impacting various industries.

Staff Software Engineer focused on building and optimizing agents for customer experience, leveraging Gemini and Vertex AI. The role involves developing automated systems for agent creation and refinement, embedding AI into client-facing infrastructure, and establishing engineering benchmarks for optimization. This is an applied AI role within enterprise AI, focusing on building full-stack concierge agents for sales and support.

Senior Software Engineer role focused on building a 'Business Analyst Agent' using Gemini/AI for Google Shopping. The agent will help merchants by answering performance-related questions, identifying opportunities, and acting on their behalf. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and potentially working with speech/audio or reinforcement learning.

Staff Software Engineer at Google working on GenAI for Google Workspace products. The role involves designing, developing, and deploying large-scale AI/ML solutions, optimizing ML infrastructure, and guiding data preparation and model optimization. It requires technical leadership and experience with state-of-the-art GenAI techniques, impacting billions of users.

Senior Software Engineer to design and implement GenAI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. The role involves writing and testing product code, collaborating with stakeholders, and evaluating tradeoffs between different techniques.

Senior Software Engineer role focused on AI/ML within Google Cloud, working on AI and Infrastructure teams to deliver AI capabilities at scale. Responsibilities include writing and testing code, designing and implementing ML solutions, leveraging ML infrastructure, and triaging/debugging system issues. Requires experience in Python/C++, software development, and specific ML areas like speech/audio, reinforcement learning, or ML infrastructure.

Software Engineer focused on optimizing GPU performance for Google's AI/ML infrastructure, impacting billions of users. Responsibilities include low-level GPU programming, performance engineering, and influencing the GPU software ecosystem and fleet deployment.

Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud Compute, leveraging ML infrastructure and evaluating different techniques. Requires strong programming skills, experience with ML infrastructure, and knowledge of state-of-the-art GenAI techniques.

Senior Software Engineer to design and implement generative AI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques to impact billions of users.

Software Engineer III role at Google Cloud focused on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts and text/image/video/audio generation.

Software Engineering Manager II at Google's YouTube, focusing on AI/ML. This role involves technical leadership, team management, and overseeing the design, implementation, and optimization of ML infrastructure and solutions, including model optimization and data processing strategies. The position requires experience in software development, ML infrastructure, and technical/people leadership.

Software Engineer III on the Google Cloud AI team focused on GenAI, responsible for implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. The role involves coding, collaboration, debugging, and working with core GenAI concepts and various data modalities.

Google is seeking PhD graduates for Software Engineer roles focused on AI/Machine Learning. The role involves developing and deploying advanced ML systems across the full stack, from hardware acceleration to production APIs, and transforming research expertise into scalable products. The position requires experience in ML/AI and coding, with a preference for large-scale distributed environments and deep learning frameworks.

Software Engineer III, Mobile XR at Google, focusing on building AR glasses applications that integrate AI, particularly Gemini-based translation models, for real-time speech translation and other helpful experiences. The role involves adapting and launching first-party apps for mobile platforms, leveraging Generative AI tools for development acceleration, and ensuring native XR support.

Senior Staff Software Engineer role focused on developing security controls and guardrails for AI agents within Google Cloud's Identity and Access Management (IAM) system. The role involves leading the design and implementation of large-scale authorization systems, extending IAM functionality to govern agent behaviors, and ensuring the security and reliability of these systems.

Senior Software Engineer focused on building security and privacy frameworks for AI agents within Google Workspace. The role involves developing robust security, enforcing agent identities, and establishing real-time safety guardrails to enable secure collaboration with AI agents, impacting billions of users.

Senior Quality Engineer for Gemini Enterprise Quality at Google Cloud AI Research. This role involves designing and implementing ML solutions, leveraging ML infrastructure, and focusing on quality assurance for AI products, particularly in specialized ML areas like speech/audio or reinforcement learning. The role requires experience in ML infrastructure, including model deployment and evaluation, and contributes to bringing AI innovations to real-world impact.

Senior Software Engineer on the EdgeTPU Compiler team responsible for building next-generation compiler optimizations to power machine learning (ML) models on custom hardware. This role involves translating framework-level code (JAX, PyTorch) into efficient instructions for the EdgeTPU, owning end-to-end features, triaging issues, implementing optimizations, and collaborating with model owners and stakeholders to accelerate ML deployment on edge devices.

Staff Functional Safety Engineer for robotics compute platforms at Google DeepMind, focusing on designing and implementing functional safety architectures for AI-powered robots. The role involves ensuring compliance with safety standards, collaborating with AI research teams, and overseeing the deployment of complex electromechanical systems.

Software Engineer role focused on AI-driven validation of AI-generated code and systems, ensuring stability and correctness as AI code volume grows. Responsibilities include creating and executing integration tests, validating system attributes, and identifying/addressing validation gaps to mitigate risks. The role involves working with coding agents and injecting quality feedback into the development loop.

Tech Lead Manager for Kubernetes AI Infrastructure, responsible for building and managing reliable and scalable TPU orchestration with Kubernetes to enable customers to run GenAI workloads at scale on-premises. The role involves technical leadership, people management, and collaboration with AI labs to influence the infrastructure roadmap.

Google is seeking a Senior Software Engineer to design and implement recommendation systems models for YouTube Ads, leveraging ML infrastructure and contributing to architecture. The role involves writing and testing code, collaborating with stakeholders, triaging issues, and deploying models in production.

Director of Engineering for Google Slides, leading the integration of AI into a collaborative presentation platform. Focus on accelerating innovation, defining the technical roadmap for an AI-first architecture, and partnering with cross-functional teams, including DeepMind, to build advanced AI capabilities and drive commercial success.

Engineering Manager for Google Images, responsible for ranking image results and improving quality through new signals, evaluation methods, and applying research. Leads technical initiatives in areas like Shopping in Images, Personalization, and AI-Organized Search Results. Manages a team of software engineers, guides technical strategy, and oversees development of ranking improvements.

This role focuses on building and scaling ML infrastructure for conversational AI products, including agent assist and dialogflow. The engineer will develop centralized infrastructure solutions to support product teams in areas like compliance, feature development, and scaling, working closely with model builders to accelerate go-to-market for new capabilities.

Software Engineer role focused on the backend infrastructure for Google's Performance Max (PMax) AI-driven advertising platform. The role involves designing, developing, and maintaining highly scalable and reliable systems that automate ad campaigns across various Google products.

Research Engineer role focused on Generative AI for Virtual Try On, involving LLMs and Large Vision Models. Requires significant experience in ML infrastructure, including deployment, evaluation, and fine-tuning, and experience launching software products. The role involves technical leadership and influencing engineering teams.

Senior Staff Uber Technical Lead for Observability Intelligence, driving the strategic shift of SRE incident response to an AI-driven paradigm within Google Cloud's monitoring systems. This role involves leading large-scale ML infrastructure optimization, defining the Observability Intelligence strategy, representing the organization in technical reviews, and partnering with Product Management to translate product needs into scalable architectural solutions. The focus is on building a cohesive, AI-powered observability ecosystem.

Staff Software Engineer at Google working on Search Ads ML and Large Language Models. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding the development of model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design.

Staff Software Engineer focused on building and optimizing AI infrastructure, including large-scale training and inference workloads, AI clusters, and AI acceleration hardware/networking. The role involves driving technical roadmaps, ensuring end-to-end supportability, and implementing success metrics for the team.

Software Engineer role focused on building AI/ML systems for ad creative optimization at Google, utilizing deep learning, reinforcement learning, and generative AI to enhance relevance and performance for YouTube users.

Staff Software Engineer for YouTube Shorts Creation, focusing on an AI-first editing flow and transitioning to an agentic orchestrator for video editing tools. The role involves technical leadership on Generative AI projects, influencing iOS engineers, and managing project priorities.

Software Engineer AI/ML Networking role focused on building and optimizing AI/ML networking solutions and smart NICs at Google. This involves working at the hardware-software boundary, writing C++ code, and contributing to ML infrastructure for model deployment, optimization, and data processing in high-bandwidth, low-latency environments.

Senior Software Engineer on the Core Engineering Education team at Google, focusing on embedding AI into curriculum and training. The role involves executing technical tasks to develop specialized AI agents and next-generation UI components for seamless human-agent interaction and effective in-the-flow learning, ultimately transforming how Googlers build software by transitioning from manual task execution to agentic orchestration. The team builds foundational technical solutions for Google's products.

Software Engineer role focused on building and deploying ML models, including LLMs, for content safety in Google Commerce. This involves designing, building, and iterating on models for policy violation detection across text, image, and video, as well as developing pipelines for training data curation and model evaluation. The role requires collaboration with various teams to integrate safety measures and analyze data to improve systems. Experience in AI/ML is required, with a preference for generative AI and AI algorithms.

This role involves guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud. The engineer will provide architecture guidance, best practices, and support for customer implementations, including the development and deployment of ML models and integrations. The role also includes customer-facing activities like site visits, solution deployment, and educational workshops, as well as collaboration with Google's Product Management and Engineering teams.

Senior Software Engineer focused on AI/ML infrastructure within Google Cloud, involving development, testing, and deployment of ML models and systems at scale. Requires strong programming skills and experience with ML infrastructure or LLM deployment.

Senior Software Engineer role focused on enhancing generative AI models and techniques for Google Ads query understanding. The role involves writing and testing code, participating in design reviews, contributing to ML infrastructure, and identifying/evaluating emerging ML/AI technologies like Gemini models and LLMs to improve user query understanding.

Staff Software Engineer for Travel Ads, focusing on full-stack development, leading system design, and implementing GenAI inference pipelines and AI-native infrastructure. The role involves owning user-facing UI to back-end model infrastructure, collaborating with cross-functional teams, and driving engineering best practices.

This role focuses on building AI-driven systems and automated solutions to detect and mitigate harmful and abusive behavior within the Chrome Web Store and Extensions. The analyst will conduct technical investigations, reverse engineer extensions, and collaborate with engineering and product teams to develop and deploy new detection methods and signals, ultimately enhancing operational workflows through AI integration and process improvements.

Software Engineer, Machine Learning at Google, focused on building and maintaining ML models for Search Advertisements to predict user interactions and optimize advertiser bids. The role involves the full ML model lifecycle, from design and training to deployment and serving in production at scale, utilizing frameworks like Keras and TensorFlow.

Software Engineer III, AI/ML, Search News Intelligence role at Google. Focuses on delivering AI-driven content for Google Search features like Top Stories, News Tab, AI Overviews, and AI Mode. Responsibilities include feature engineering for content understanding and ranking, optimizing ranking performance, deploying advanced signals, and implementing ML solutions using ML infrastructure.

Staff Software Engineer for Google Ads Connect Sales, focusing on AI/ML to empower sales teams. The role involves developing AI-powered products for the entire sales workflow, from lead generation to post-call summarization, by owning the core conversational understanding platform. This position requires technical leadership in designing, developing, and deploying large-scale software solutions, with a focus on Generative AI techniques and ML infrastructure optimization.

Software Engineer role focused on building and advancing ML data and training infrastructure to enable ML use cases for recommendation systems. Requires experience in software development, ML models, and ML infrastructure, including data processing, model optimization, evaluation, and deployment.

This role focuses on developing custom silicon solutions for Google's direct-to-consumer health products, involving the interpretation of health-related data from wearable sensors using machine learning/deep learning models. The engineer will also design, build, and validate new wearable sensors and collaborate on user studies, particularly for Software as a Medical Device (SaMD).