Senior Software Engineer, Machine learning, Ads
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in software development.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- 5 years of experience with software development in one or more programming languages (e.g., Java, Python, Typescript).
- Ability to drive innovation in AI and agentic solutions that help transform Google's business functions.
- Ability to work on a project that is transforming the field of marketing analytics.
- Ability to collaborate with ML engineers and leads on developing reusable enterprise AI primitives.
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.
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.
Responsibilities
- Build a Cloud SaaS offering in Pantheon (Google Cloud Platform (GCP)) for Meridian using Vertex AI, BigQuery, Looker, Looker Studio and other GCP technologies.
- Work in a fast-paced, agile environment and contribute to the continuous improvement of Meridian's performance and scalability.
- Design and develop scalable, reliable, and high-performance solutions that cater to the growing needs of our customers. Manage and drive individual project priorities, deadlines and deliverables.
- Work across the full technology stack to incorporate Google's latest advancements in AI.
- Provide technical expertise during critical incidents and complex problem-solving efforts to maintain a high-level of customer satisfaction.
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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/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.
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