Senior Software Engineer, AI/ML, Core

Google•San Jose, CA

3d•$174,000 - $252,000

About The Position

Google software engineers develop technologies that help billions of users connect, explore, and interact with information. This role works on a project critical to Google and may involve opportunities to move between teams and projects as business needs evolve. Engineers are expected to be versatile, demonstrate leadership, and take on problems across the full stack. The Core team builds the technical foundation behind Google’s flagship products, including underlying design elements, developer platforms, product components, and infrastructure. It develops central solutions across Google products, removes technical barriers, strengthens existing systems, and influences important technical decisions across the company. The position provides technical leadership for production-grade machine learning models and infrastructure, including scalable data pipelines, feature stores, and automated training and evaluation workflows. It collaborates with product managers, data scientists, and engineering teams to turn requirements into technical solutions and contributes to long-term roadmaps. The role also monitors and optimizes production models for latency, throughput, and cost-efficiency while maintaining prediction quality. Individual pay is determined by job-related skills, experience, and relevant education or training. The stated U.S. compensation is $174,000–$252,000, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience in Python or C++.
3 years of experience in speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
3 years of experience with end-to-end machine learning, such as model deployment, model evaluation, data processing, and debugging.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.

Nice To Haves

Master’s degree or PhD in Computer Science or a 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.

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 and evaluation workflows to support continuous model iteration.
Partner with Product Managers, Data Scientists, and other engineering teams to translate high-level requirements into concrete technical solutions and influence the long-term roadmap.
Oversee monitoring, benchmarking, and optimization of production ML models for latency, throughput, and cost-efficiency without compromising prediction quality.