Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java or C .
• 8 years of experience programming in JavaScript or TypeScript.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  
• Experience with SQL or AI Platform.

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.

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

The Ads Human Evaluation program (aka "ads-ewoq") is a data labeling platform that combines LLM autoraters with humans-in-the-loop to deliver high quality labeled data at scale. The engineering team is part of the Ads ML organization. The EWOQ team leverages Human and ML modeling to generate mission-critical data labels for teams across Google.

Our mission is to generate high-quality, cost-effective labelled data to ensure our ad ecosystem is trustworthy and enriches the user's experience. We are building a new Ads Evaluation platform to simplify, speed up, and improve the quality of offline evaluation for all of ads using our LLM Rater technology.

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 $207,000-$300,000 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

• Develop LLM Rater functionality for EWOQ and new Ads Evaluation platform.
• Use AI tools in all aspects of software development and build scalable distributed systems. Build high performance data processing systems.

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Requisition #: 73847624154653382

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