Senior Software Engineer, AI/ML, Core

About the role

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.

ABOUT THE JOB:

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

[https://www.google.com/about/careers/applications/benefits/].

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.