Snapshot
Join Google DeepMind's high-visibility AI Studio and Gemini API team and shape the future of AI development! As a QUXR, you will do research and develop metrics that directly inform strategy for a product that empower developers worldwide. Collaborate closely with product managers, TPMs, and engineers to design, develop, and deploy scalable, high-performance AI solutions. Thrive in a fast-paced, innovative environment where your technical expertise and passion for AI will directly impact Google's AI strategy.
You can see some of our work in aistudio.google.com
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
We are looking for a researcher who is passionate about making Gemini Models win the heart and mind of developers. We are motivated by the set of Capabilities we can build on top of Gemini models and externalize to the world.
Key responsibilities
- Enable the Gemini API and AI Studio teams to have an understanding of user behavior within the products through deep analysis of usage logs
- Develop and maintain logs infrastructure, including advocating for instrumentation, leveraging strong SQL and Python skills
- Perform underlying research to inform metrics development and implement those metrics
- Develop data visualization and tools to enable teammates to monitor metrics and user behaviors in a self-service way, such as dashboards, interactive notebooks, etc
- Develop approaches to answer specific hypothesis, e.g. causal inference frameworks for observational data, possible A/B testing, etc
- Communicate research findings in a compelling manner to a diverse set of stakeholders
About You
In order to set you up for success as a UX Researcher at Google DeepMind, we look for the following skills and experience:
To ensure your success in this role you are someone who demonstrates the following abilities:
Minimum qualifications
You must meet these minimum qualifications to apply for this job
- Bachelor's degree in Computer Science, Human-Computer Interaction, Psychology, Statistics, Economics, Neuroscience, or a related field
- Experience with research design utilizing various methods
- 8+ years of experience within User Experience, Human-Computer Interaction, applied research setting, and/or product research and development.
- Proficiency in SQL and Python
- Expertise in developing ETL pipelines
- Expertise in statistics and experimental design
- Expertise in data viz techniques and tools.
- Track record of communicating with cross-functional stakeholders of varying levels
- Impeccable written and verbal communication
- Practical experience in research communication to technical and non-technical audiences.
- Track record demonstrating excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field.
In addition, the following would be an advantage:
Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable
- 10+ years of relevant work experience, especially with User Experience teams
- Masters or PhD in Computer Science, Human-Computer Interaction, Psychology, Statistics, Economics, Neuroscience, or a related field
- Very strong SQL and Python coding ability
- Proficiency in programming computational and statistical algorithms for large data sets.
- Prior experience on machine learning projects.
- Experience in survey design and analysis, especially NLP analysis of open field responses
The US base salary range for this full-time position is between $168000 - $266000+ bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Top Skills
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.
