Software Engineer III, AI/ML, Gmail Ads Quality

Google; Mountain View (CA); On-site; USD 147,000 - 211,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

Google is looking for a Software Engineer III to develop machine learning models for Gmail Ads Quality in Mountain View, California. This role requires expertise in Python or C++ programming, along with machine learning experience.

The candidate will contribute to improving Gmail Ads personalization and optimizing campaign performance, while also participating in various projects across Google's diverse technological landscape.

Google offers a competitive salary between $147,000 - $211,000, a 15% bonus target, equity, and a comprehensive benefits package.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with end to end machine learning.

Responsibilities

• Write product or system development code.
• Design and implement machine learning models.
• Triage product or system issues and debug.

Skills

Python or C++ programming

Machine learning

Data structures and algorithms

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science, Statistics, or Mathematics

Tools

Machine learning frameworks

Job description

Software Engineer III, AI/ML, Gmail Ads Quality

Minimum qualifications:

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

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Statistics, Mathematics, or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience in investigative frameworks, statistics, or mathematics.
• 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.

One of the main focus areas of the Gmail Ads Quality organization is to improve Gmail Ads personalization and advertiser value optimization by applying machine learning in auction models (predicted click-through-rate, predicted conversions, bidding, etc.), supporting new advertiser features and optimizing end-to-end campaign performance.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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

Learn more about benefits at Google.

Responsibilities

• Write product or system development code.
• Design and implement machine learning models and optimization algorithms.
• Design, run, analyze and launch experiments.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas and contribute to model optimization and data processing.

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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 or 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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.