Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities • Provide technical leadership in designing, developing, testing, and deploying robust, production-grade ML models and infrastructure. • Drive the architecture, implementation, and maintenance of scalable data pipelines, feature stores, and automated training/evaluation workflows to support continuous model iteration. • Partner closely with Product Managers, Data Scientists, and other engineering teams to translate high-level requirements into concrete technical solutions, influencing the long-term roadmap. • Oversee the monitoring, benchmarking, and optimization of production ML models for latency, throughput, and cost-efficiency without compromising prediction quality. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience in one of the programming languages: Python or C++. • 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. • 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging). • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • 5 years of experience with data structures and algorithms. • 1 year of experience in a technical leadership role. • Experience developing accessible technologies.