Software Engineer, AI​/ML, Full Stack, Search Ads

Software Engineer, AI/ML, Full Stack, Search Ads

Google place Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year 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.

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.

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.

As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

Search Ads is a primary economic engine for Google, and our user experience is at the heart of that success. We are at a pivotal moment where GenAI is fundamentally rewriting the playbook for both what we build and how we build it, unlocking new opportunities for significant user satisfaction and revenue wins for Google. Our team is at the forefront of this shift.

In this role, you will be pioneering next‑generation, AI‑native ad experiences for users, while simultaneously revolutionising the entire ads product engineering life‑cycle using Gemini and LLMs.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to You Tube creators, with effective advertiser tools that deliver measurable results.

We also enable Google to engage with customers ividual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

• Work on 0‑to‑1 problems in Ads business generation space, leveraging AI/ML advancements, including LLMs and Agentic AI.
• Own system design and implementation of new features from ground‑up.
• Build agentic systems that automate and significantly scale up iteration velocity.
• Build 10x better AI‑first ads experiences on Google Search.
• Design A/B experiment, setup and analysis.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.