AI/ML Full-Stack Engineer for Search Ads

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is hiring a Software Engineer, AI/ML, Full Stack for Search Ads in Mountain View, CA. You will work on AI-driven ads experiences and scalable ML systems across the ads product lifecycle.

As a mid-level engineer, you will design, implement, test and deploy features, leveraging LLMs, AI tooling and distributed systems techniques to improve user experience and revenue. Join a fast-moving team at the forefront of GenAI-enabled advertising, collaborating across product, design and data science

Qualifications

• 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, reinforcement learning, ML infrastructure, or specialization in another ML field.
• Master's degree or PhD preferred.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.

Responsibilities

• 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.

Skills

Python

C++

ML infrastructure

Speech/Audio

Reinforcement learning

Accessibility

Data structures & algorithms

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related fields

Job description

Google is hiring a Software Engineer, AI/ML, Full Stack for Search Ads in Mountain View, CA. You will work on AI-driven ads experiences and scalable ML systems across the ads product lifecycle.

As a mid-level engineer, you will design, implement, test and deploy features, leveraging LLMs, AI tooling and distributed systems techniques to improve user experience and revenue. Join a fast-moving team at the forefront of GenAI-enabled advertising, collaborating across product, design and data science