Senior Staff Software Engineer, Search Ads Formats, MTV

Google•Apply•Published 3 hours ago•First seen 3 hours ago

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Formats are optional ad primitives that enhance the Search Ad experience by providing a preview to the advertisers’ landing pages and assisting users in finding the most useful results. They are a big driver of providing user experience for many Google.com users.

Our mission is to compose the right ad to meet users and advertisers needs. The era of Generative Artificial Intelligence (GenAI) has accelerated the need to quickly build and ship new ad experiences. Search ads are ripe for innovation as we move from text-based content to AI-powered multimodal content or query-dependent content world which we believe our users expect on major surfaces.

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 YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Innovate compelling new ads experiences in a changing environment.
Think creatively on “finding” or building the right quality, extraction, data models and data-driven execution.
Design and build end-to-end infrastructure that serves under tight latency and freshness constraints.
Partner closely with prediction, auction, and key stakeholders to help identify the right solution.
Iterate on user and advertiser experiences to find one that meets their needs.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience programming in Python or C++.
7 years of experience leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with design and architecture; and testing/launching software products.
5 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.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with one or more general purpose programming languages including but not limited to: C/C++, Python, or Java.
Experience in design and implementation end-to-end full stack development.
Experience in managing medium-sized teams.