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Senior Model UX Designer, GeminiApp, DeepMind
Google Deepmind đşđ¸ Seattle, Washington, United States of America
The role involves guiding prompt engineering and prototyping strategies to deliver high-quality, context-aware model outputs. You will also partner with AI product designers to craft multimodal solutions and develop intuitive UX patterns for user controls and preferences.
Responsibilities
- The role involves guiding prompt engineering and prototyping strategies to deliver high-quality, context-aware model outputs. You will also partner with AI product designers to craft multimodal solutions and develop intuitive UX patterns for user controls and preferences.
Requirements
- Candidates must have a bachelor's degree in a relevant field and at least 6 years of experience in conversation or content design for AI systems. Proficiency in Figma and experience with rapid iteration in startup environments are highly preferred.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401(k) with company match
- Paid time off
- Sick time
- Maternity leave
- Baby bonding leave
- Paid holidays
Key Skills
About Google Deepmind
Weâre 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 worldâs 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 worldâs 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
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