Senior UX Model Designer - AI Safety & Quality Architect

DeepMind Technologies Limited; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, dental, vision, life, and disb

Retirement benefits: 401(k) with match

Paid time off: 20 days per year

Sick time: 40 hours/year (69 Seattle)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days per year

Job summary

DeepMind Technologies Limited is seeking a Model UX Designer focused on the quality and safety of the Gemini model’s output. You will build new capabilities for users and help them maximize product value in a rapidly evolving area with a dedicated team.

You will be a systems thinker with strong content strategy, UX design, and problem-solving skills, creating guidelines, rubrics, and evaluations for LLMs while collaborating with product, engineering, research, and data science to shape strategy.

Qualifications

• Bachelor's degree in a related field or equivalent practical experience.
• 5 years of experience in conversation design and content design for conversational AI/LLMs.
• Portfolio highlighting content strategies and longer-form writing samples.

Responsibilities

• Develop system instructions and prototyping strategies to ensure safe, high-quality model outputs.
• Diagnose content quality issues and run qualitative assessments to improve user experiences.
• Create guidelines and standards to guide reviewers and engineers.

Skills

Conversation design

Portfolio writing samples

Content strategy

Education

Bachelor's degree or equivalent in English/Communications/Journaling/UX

Tools

LLM tuning

AI prototyping

Job description

DeepMind Technologies Limited is seeking a Model UX Designer focused on the quality and safety of the Gemini model’s output. You will build new capabilities for users and help them maximize product value in a rapidly evolving area with a dedicated team.

You will be a systems thinker with strong content strategy, UX design, and problem-solving skills, creating guidelines, rubrics, and evaluations for LLMs while collaborating with product, engineering, research, and data science to shape strategy.