Staff Model UX Content Designer, Gemini App

Model UX Content Designer Mountain View, CA, USA Snapshot We’re hiring an experienced Staff Model UX Designer to play a critical role in ensuring the quality and effectiveness of content generated by Gemini. You’ll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes.

You’ll create robust response strategies, system instructions, rubrics, evaluation methods, and guidelines to ensure high quality behavior and responses in Gemini.

About Us

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. 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

As a Model UX Designer focused on the quality of the Gemini model’s output, you’ll build new capabilities for users and help them get the best out of the product. You’ll work in a rapidly evolving, exciting area with a dedicated and passionate team.

Key Responsibilities

  Partner with Product, Engineering, and Policy to shape the behavior and responses of LLM models Utilize mastery of the art and structure of language to create principles, response strategies, and examples for the content quality of Gemini models  Define and establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.  Diagnose content quality issues and develop strategies and alignment for implementation and hillclimbing across product areas.  Develop strategies for improving model response quality, write instructions, guidelines, and standards to guide the work of reviewers and engineers.

Write ideal model responses that serve as the north star for model output.  Collaborate with engineers, product managers, researchers, and data scientists to define user-centered quality standards and approaches to measurement.  Create scalable solutions to UX and process challenges across teams.  Advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users.

Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI.

About You

We’re looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing. You’ll have experience developing guidelines, exemplary content, evaluations, and rubrics for LLMs, as well as writing and editing in a fast-paced, agile environment.

Leveraging complex cross-functional partnerships, you’ll work with product, engineering, research, and data science to articulate and guide product strategy. To set you up for success as a Model UX Designer at Google DeepMind, we look for the following skills and experience: Minimum qualifications Bachelor's degree in English, Communications, Journalism, Technical Writing, UX, HCI, or equivalent practical experience 5+ years of experience on user-focused writing, including work in hardware, software, digital agencies, creative industries, journalism, or other relevant areas Experience in shaping content for multi-disciplinary projects A portfolio of content strategies and longer-form writing samples   Preferred qualifications In addition, the following would be an advantage:  Experience training and tuning large language models or other generative AI technologies Experience being a driver in a fast-paced, startup environment Experience working on multi-modal platforms, like voice-driven experiences or AR/VR Experience gathering and working with data to identify loss patterns and create actionable insights Experience developing AI-driven prototypes

Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and...