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UX Research Intern
Posted on 6/7/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Intern
Desired Skills
Data Analysis
UI/UX Design
Requirements
  • Be passionate about the Anyscale product domain
  • Educational background in cognitive science, psychology or other relevant fields to UX research
  • Background in computer science is a huge bonus
  • Comprehension of different research methods and the ability to select the appropriate method for a given research topic
  • Experience with executing research, such as user survey, cognitive walkthrough, qualitative and quantitative data analysis
  • Excellent communication skills
  • Must be willing to work onsite in our office three days a week
Responsibilities
  • Under the supervision of a research lead, develop research plans, choose the appropriate research methodology for a given research topic
  • Develop necessary instruments (e.g. surveys, interview questions) in collaboration with stakeholders
  • Execute the research (e.g. recruiting interview participants, sending surveys to the right recipients)
  • Synthesize raw data into actionable insight
Anyscale

51-200 employees

Application development platform
Company Overview
Anyscale’s mission is to make distributed computing simple and accessible for engineers. The company is building a framework for running machine learning applications at any scale
Benefits
  • Medical, Dental, and Vision insurance
  • 401K retirement savings
  • Flexible time off
  • FSA and Commuter benefits
  • Parental and family leave
  • Office & phone plan reimbursement
Company Core Values
  • Empathy, Trust, and Candor. Being empathetic helps build trust in our community and company, and fosters successful decision-making.
  • Always Be Learning. We learn eagerly, from different teams within and outside the company. Respectful debate makes our company stronger.
  • Act Like an Owner. We have a strong ownership mentality. Every person on the team has the potential to make a huge impact.
  • Bias for Action. We practice high-velocity decision-making, despite encountering ambiguity frequently.