Research Engineer, Multimodal Generative AI (ImageVideo)

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. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. 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 formultimodal generative AI models with a primary focus on image generation and editing. This role is for the team behind Nano Banana.

At Google DeepMind weve 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. We have already made a number of high-profile breakthroughs towards building artificial general intelligence and we have all the ingredients in place to make further significant progress over the coming year!

About Us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.

The Role

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.

Having pioneered research in the worlds 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.

Drawing on expertise from a variety of disciplines including deep learning computer vision language modeling and advanced generative architectures our Research Engineers are at the forefront of groundbreaking research.

Key Responsibilities

• 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.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About You

In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience:

• PhD in Computer Science Artificial Intelligence Machine Learning Computer Vision or equivalent practical experience.
• Proven experience in deep learning research and development particularly in generative AI and related to image synthesis. This includes diffusion models and autoregressive generative models. Experience with post-training is a plus.
• Exceptional engineering skills in Python and deep learning frameworks (e.g. Jax TensorFlow PyTorch) with a track record of building high-quality research prototypes and systems.
• Strong publication record at top-tier machine learning computer vision and graphics conferences (e.g. NeurIPS ICLR ICML SIGGRAPH CVPR ICCV).

In addition the following would be an advantage:

Demonstrated experience in multimodal generative modeling especially combining large language models with visual generation (e.g. text-to-image/video systems joint autoregressive and diffusion models).A keen eye for visual aesthetics and detail coupled with a passion for creating high-quality visually compelling generative content.

• A real passion for AI!

What We Offer

At Google DeepMind we want employees and their families to live happier and healthier lives both in and out of work and our benefits reflect that. Some select benefits we offer: enhanced maternity paternity adoption and shared parental leave private medical and dental insurance for yourself and any dependents and flexible working options. We strive to continually improve our working environment and provide you with excellent facilities such as healthy food an on-site gym faith rooms terraces etc.

We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $166000 USD - $244000 USD bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see ourApplicant and Candidate Privacy Policy.