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About usOur mission:
Our vision is to improve Gemini as a “visual designer”. Powerful visual storytelling is crucial for standing out in the digital landscape. Businesses and creators struggle with a process that is manual, time-consuming, expensive, and requires specialized skills. Overcoming these friction points is vital for leveraging visual storytelling to drive engagement and maintain a competitive edge. By deeply integrating advanced visual design capabilities into Gemini models, we empower users to overcome these traditional barriers and unlock new levels of creative expression and efficiency.
The mission of our team is to “Understand structured media content deeply through vision and generate new professional-grade content of prime quality”. To deliver on our mission, our team is working towards advancing Gemini/GemPix’s capabilities towards generating media directly in their natural structured representation format blending text, images, vectors etc. Our work has far reaching impactful use cases across Google PAs including Gemini App, Ads, Labs and Workspace.
The roleAs a Research Engineer in our team you are responsible for all aspects of developing SOTA visual design capabilities advancing Gemini models to deliver intelligent experiences to users in their design creation workflows. You are expected to collaborate closely with Gemini and GemPix partners to accelerate the development of design intelligence capabilities to assist users towards effortlessly creating structured graphic-rich editable and interactive media content, including slides, posters, ads, invitations, illustrations, and other graphic designs. You will also mentor more junior members of the team on ML best practices, generating technical roadmaps with other engineering leaders and executing against our most important priorities.
Key responsibilities- Lead the modeling developments that advance the visual design intelligence of Gemini models.
- Exemplify technical excellence in your design, modeling / experimentation, documentation, and code and be a mentor for the junior engineers.
- Demonstrate strong research skills in formulating research hypotheses and design experiment methodologies to test them.
- Design and architect technical solutions addressing the needs and priorities of Gemini models, while minimizing privacy and legal risks.
- Help shape the technical roadmap through engagements with engineering and product leads of Gemini/Gempix teams. Drive alignment on deliverables, timelines and execution to deliver impact.
- Be forward looking and proactively suggest new topics for the team to invest on.
You must meet these minimum qualifications to apply for this job
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- Experience in ML, working with data, quality metrics, quality iterations.
In addition, the following would be an advantage:
- MSc/Phd in ML (or 2+ years of experience with LLMs).
- Experience in large-scale vision-language models (VLMs).
- Experience in media generation with large models (LLMs or diffusion models).
- Experience in RL modeling.
- Experience in graphic design (or animations or rendering).
- Experience in ML infrastructure.
Application deadline: 18th Jan 2025
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 our Applicant and Candidate Privacy Policy.
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What We Do
We’re 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.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
