About the position
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 machine learning systems on data (billions of YouTube queries).
- Build expertise on Machine Learning techniques for recommendation systems, ads and product landscape by working with experienced executive leads.
- Research novel model architectures, read papers, implement and deploy them to stay up-to-date with the latest trends and innovations in ads ecosystem and machine learning.
- Work with the Machine Learning techniques, tools like TensorFlow, Adbrain, Tensor Processing Unit.
- Collaborate and coordinate with partner teams in Ads Quality, Ads Front End, Ads Infrastructure to launch new audiences, products and features.
Requirements
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in C++ and Python, or 1 year of experience with an advanced degree.
- 1 year of experience with one or more of the following: Speech/audio, reinforcement learning, Machine Learning infrastructure, or specialization in another Machine Learning field.
- 1 year of experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Nice-to-haves
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Experience in Ads business Clicks and conversions prediction, in an ads or non-ads context Recommendations systems.
- Experience with statistical and quantitative modeling and forecasting.
- Experience with machine learning techniques.
Benefits
- The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.