{"title": "Research Scientist, Apparel ML", "level": "Mid", "location": "Seattle, WA, USA; Mountain View, CA, USA", "description": "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.\nAs 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.", "salary": "$136,000-$200,000 + bonus + equity + benefits", "key_qualifications": "PhD degree in Computer Vision, Generative Media, Computer Graphics, a related field, or equivalent practical experience. One or more scientific publication submission(s) for computer vision or machine learning conferences, journals, or public repositories.", "preferred_qualifications": "2 years of experience in coding. 1 year of experience owning and initiating research agendas. Experience with computer vision algorithms. Experience with diffusion/transformers based models. Experience tuning and inventing novel computer vision architectures.", "responsibilities": "Invent and build new generative AI architecture and computer vision algorithms focusing on high quality images and videos generation. Invent automatic artifact recognition and removal for generative media. Invent state of the art generative virtual try-on experiences. Productize the novel research with the rest of the team for impactful business objectives, and author research papers. Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.", "company": "google"}