Minimum qualifications:
* Bachelor's degree or equivalent practical experience.
* 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
* 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
* Experience programming in one or more of the following languages: Ruby, Python, Java, C++.
Preferred qualifications:
* Master's degree or PhD in Computer Science or related technical fields.
* 2 years of experience with data structures and algorithms.
* Experience in computer science, with knowledge of data structures, algorithms, and software design.
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
* Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
* Design, build, and deploy models, classifiers, scoring systems to solve business-critical problems.
* Own projects end-to-end from initial idea to design, analysis, and implementation.
* Understand production systems, visualize, monitor, and optimize performance.
* Stay up-to-date with latest tools and research in the field.