research
Posted Feb 24Research Engineer, Multimodal Generative AI (Image/Video)
at DeepMind
Kirkland, Washington, United StatesOn-site
Responsibilities
- Research Engineers at Google DeepMind lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.
- Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms, data curation, and evaluation infrastructure for multimodal generative AI, with a particular emphasis on image synthesis.
- Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
Requirements
- Research Engineer, Multimodal Generative AI (Image/Video) Seattle, WA
- At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
- If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot
- The role of the Research Engineer will be to develop state-of-the-art methods for multimodal generative AI models, with a primary focus on image generation and editing .
- At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish.
- Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms.
- Artificial Intelligence could be one of humanity’s most useful inventions.
- At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.
- Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs, or professorships, Research Engineers join Google DeepMind to work collaboratively within and across Research fields.
- They are expected to independently build state of the art foundation models and research infrastructure, work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.
- In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience: