Google is seeking a Research Scientist for their Google Ads team. This role involves working on cutting-edge machine learning and deep learning projects, particularly focusing on adapting and fine-tuning Gemini models for various advertising applications. The ideal candidate will have a PhD in Computer Science or a related field, experience with deep learning libraries, and a strong background in data science and machine learning.
As a Research Scientist at Google, you'll have the opportunity to work on real-world problems spanning various areas of computer science, including machine learning, data mining, and natural language processing. You'll be expected to set up large-scale tests, deploy promising ideas quickly, and manage deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
The role involves collaborating with researchers and engineers from the Google DeepMind Gemini pre-training team, developing ML modeling techniques that influence Ads products, and working with product teams to develop and deploy user-facing products. You'll also be expected to author research papers to share your findings with the wider research community.
Google Ads is a crucial part of Google's mission to power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google itself. The team builds Google's Advertising products across various platforms, including search, display, shopping, travel, and video advertising, as well as analytics.
This position offers a competitive salary range of $136,000-$200,000, plus bonus, equity, and benefits. Google is committed to creating a diverse and inclusive work environment and encourages applications from all qualified individuals.
If you're passionate about machine learning, have a strong research background, and want to make a significant impact on the future of digital advertising, this Research Scientist position at Google Ads could be an excellent opportunity for you to grow your career and contribute to groundbreaking advancements in the field.