Mixed Methods UX Researcher, AI and Compute Enablement

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 6 years of experience in an applied research setting (e.g., product or academic), or similar.
• Experience with research methods (e.g., usability, studies, contextual inquires, one to one interviews, unmoderated research studies).

Preferred qualifications:

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  
• Experience effectively collaborating with multidisciplinary teams (e.g., Designers, Researchers, Engineers, Content Strategists, and Product Managers) throughout the entire product development process.
• Experience in front-end development, technical UX design, or prototyping.
• Experience utilizing various research methods including usability studies, contextual inquiry, and surveys to successfully drive product improvements.
• Knowledge in AI/ML academic research or development with passion for GenAI systems and the developers who build them.
• Ability to operate with high flexibility and apply a problem-solving attitude in ambiguous environments.

About the job

At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." User Experience Researchers (UXRs) make this possible.

Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the needs, attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses.

As a User Experience Researcher (UXR), you’ll help your team of UXers, product managers, and engineers understand user needs. You’ll work with stakeholders across functions and levels and have impact at all stages of product development. You’ll play a critical role in creating useful, usable, and delightful products. You’ll explore user behaviors and motivations by conducting primary research such as field studies, interviews, diary studies, participatory workshops, ethnography, surveys, usability testing, and logs analysis.

The UXR community at Google is unique and will help you do your best work. You’ll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.

The AI and Compute Enablement (ACE) team, part of MSCA, drives Google's next-gen user-centric AI and compute innovations. We provide the platforms and infrastructure to easily build and deploy AI/ML into products for both internal and external customers.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Identify and prioritize high-impact research opportunities that align with product, design, and business objectives to define and influence strategy and roadmaps for MSCA products and solutions.
• Scope and execute foundational, exploratory, and evaluative research utilizing qualitative and quantitative methods including surveys, interviews, and analysis to answer product questions, improve customer pain points, and drive business value.
• Synthesize data into compelling insights, reports, and presentations that inspire adoption, engagement, and expansion of user centricity and deliver business intelligence to cross-functional partners, including executive cross-disciplinary leaders.
• Engage in rapid research, design facilitation, stakeholder alignment, and concept validation and prototyping to solve user problems and help scale user-centric solutions.
• Build partnerships with peers and stakeholders, incorporate technical and business domain expertise into research, and leverage user data as an effective tool for navigating ambiguity.