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Staff UX Researcher, GeminiApp, DeepMind
Google Deepmind 🇺🇸 Mountain View, California, United States of America
Lead foundational research into user needs for generative AI and use findings to inform the multi-year product roadmap and model tuning signals. Partner with research, product, and strategy teams to shape business and technical strategy, and develop evaluation frameworks for concepts such as hallucination tolerance, creative agency, and collaborative trust.
Responsibilities
- Lead foundational research into user needs for generative AI and use findings to inform the multi-year product roadmap and model tuning signals. Partner with research, product, and strategy teams to shape business and technical strategy, and develop evaluation frameworks for concepts such as hallucination tolerance, creative agency, and collaborative trust.
Requirements
- A bachelor's degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field—or equivalent practical experience—is required, along with 8 years of experience in UX research, product strategy, or a related field in consumer-facing technology. Candidates must have experience with qualitative and quantitative research methods; experience with machine-learning-driven products and influencing executive stakeholders is preferred.
Benefits
- Bonus
- Equity
- Benefits
Key Skills
About 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. 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
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