Senior Research Scientist, Generative Media, Apparel ML

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .

Conduct research and drive production engineering in computer goals, graphics, and generative AI at scale. Develop advanced generative media models for fit estimation, virtual try-on, human visualization, home/spatial rendering, and broader shopping experiences. Implement, train, evaluate, and iterate on machine learning models, launching products at scale in collaboration with production teams. Drive in agentic systems and development workflows. Mentor interns and collaborate closely with cross-functional team members to deliver research, models, and products.

Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. 2 years of experience in computer vision. Experience with C++, Python, generative AI, and machine learning. One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: 1 year of experience leading research efforts and influencing other researchers. Experience with 3D human modeling.