Manage a team of software engineers to build and scale content safety solutions using ML/AI techniques for Google's core products, focusing on protecting users from harmful content. This involves technical leadership, people management, and ensuring the production-grade deployment and operation of these safety systems.

Senior AI/ML Software Engineer at Google, working on YouTube's knowledge systems. The role involves developing and deploying ML models, including LLMs and GenAI, to improve core YouTube products like Home, Search, and Recommendations. Responsibilities include writing and testing code, collaborating on design, debugging issues, and implementing ML solutions leveraging ML infrastructure. The role requires experience with software development, ML infrastructure, and potentially speech/audio or reinforcement learning.

Staff Software Engineer at Google YouTube Ads ML team, focusing on designing, developing, and deploying large-scale ML solutions for advertising products. The role involves technical leadership, optimizing ML infrastructure, and building recommendation system models.

Staff Software Engineer at Google, focusing on Search Intelligence. The role involves designing, developing, and deploying software solutions to improve the quality of AI-generated content within Google Search. This includes implementing and experimenting with AI/ML models, analyzing performance, and managing open-ended problems in large-scale systems. The position requires experience in AI platform and ML infrastructure, with a focus on improving AI-generated content quality and system health.

This role is for a Data Science Manager to lead a team in India focused on AI/ML initiatives for People Operations. The manager will provide technical leadership, oversee the development and deployment of AI/ML models (including NLP and predictive models), and bridge the gap between business needs and technical execution. The role involves hiring, mentoring, and managing the data science pod, driving technical architecture, and advocating for AI transformation within the organization.

Senior Software Engineer role focused on building AI/ML features for Google Workspace products, impacting billions of users. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and collaborating with model builders from Google DeepMind to shape the future of productivity tools.

Software Engineer role focused on designing, building, and maintaining content safety solutions for Google's business-critical products. This involves implementing Responsible AI standards, protecting users from harmful content using ML/AI techniques, and ensuring quality through classifiers and classifiers. The role requires production-grade experience in serving infrastructure and product integrations, with a focus on delivering scalable and future-proof solutions.

Software Engineer III at Google Workspace focused on implementing GenAI solutions for productivity tools like Gmail, Docs, and Meet. The role involves utilizing ML infrastructure, contributing to data preparation, optimization, and performance enhancements, and working with core GenAI concepts such as LLMs, Multi-Modal, and Large Vision Models for text, image, video, or audio generation. The primary goal is to build AI-powered features into user-facing products.

Senior Software Engineer role focused on building and deploying recommendation systems, rankings, and predictions models within Google Ads, leveraging ML infrastructure and contributing to architecture design. Requires significant experience in building and deploying recommendation systems and ML infrastructure in production.

Software Engineer III at Google working on AI/ML Recommendations, Rankings, and Predictions for YouTube. The role involves writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and building/deploying recommendation systems models using ML infrastructure, with a focus on model optimization and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of experience building/deploying recommendation systems, and 1 year of ML infrastructure experience.

Staff Software Engineer at Google working on AI/ML for YouTube Recommendations, Rankings, and Predictions. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models in production and leading ML design and optimization.

Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership.

Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization.