Research Engineer, Gemini Omni, DeepMind

ppNote: By applying to this position you will have an opportunity to share your preferred working location from the following: bLondon, UK; Zürich, Switzerland /b. /p h3Minimum qualifications: /h3 ul liMaster's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. /li liExperience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). /li liExperience working in industry, working on projects from proof-of-concept through to implementation. /li liExperience with training diffusion models. /li liExperience conducting applied research. /li /ul h3Preferred qualifications: /h3 ul liExperience in inference optimization. /li liExperience with data pipelines. /li liExperience with training large-scale models. /li liCross-functional collaboration experience. /li liKnowledge of machine learning, statistics, and diffusion model theories. /li /ul h3About the job /h3 pAt Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. /p pFrom creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. /p pWe are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. /p h3Responsibilities /h3 ul liApply research ideas to high-impact real world problems through prototyping, dataset curation, model training, performance optimization, and deployment. /li liDevelop cutting-edge techniques in Generative Media (image, video, and audio). /li liOptimize algorithms and models for efficient inference. /li liAdvance capabilities in Multimodal Understanding. /li liPerform comprehensive model optimization to enhance performance and scale. /li /ul pGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . /p /p #J-18808-Ljbffr