Senior Research Technologist

ZillowZillow·Remote(United States)
Other
Excel

WFA Digital Insight

As the demand for skilled technologists in AI and product development continues to rise, Zillow is looking for a Senior Research Technologist to drive innovation. With the growth of AI experiences across industries, companies are seeking professionals who can bridge the gap between technical capabilities and user needs. In this role, you will have the opportunity to work on cutting-edge projects, collaborating with cross-functional teams to shape the future of AI-powered experiences. With a strong focus on research and development, Zillow is an attractive destination for professionals looking to make a meaningful impact in the tech industry. Before applying, candidates should be prepared to showcase their technical expertise, research skills, and ability to work in a fast-paced, collaborative environment.

Job Description

About the Role

The Senior Research Technologist role at Zillow is a unique opportunity to work at the intersection of technical capabilities and research thinking. As part of the Product Acceleration Research team, you will be responsible for developing and scaling the infrastructure that enables product teams, designers, and researchers to test AI-powered experiences with real users before they reach production. This role is crucial in driving the development of AI-powered experiences across Zillow's products, and you will have the chance to collaborate with various teams, including Product, Engineering, Design, and Research.

The Senior Research Technologist will own the infrastructure that enables product teams to test emerging AI-powered experiences with real users before launch. This involves building, improving, and scaling the testing infrastructure, as well as defining clear standards for pre-production testing and evidence-based decision-making. You will also partner with various teams to translate testing needs into practical systems and workflows, bringing a technical perspective to research conversations and advocating for strong learning practices in cross-functional decision-making.

The Product Acceleration Research team is focused on accelerating the speed of product development, and the Senior Research Technologist will play a key role in achieving this goal. By developing and scaling the testing infrastructure, you will enable product teams to test and refine their AI-powered experiences more efficiently, ultimately driving the development of more effective and user-friendly products.

What You Will Do

  • Develop and scale the infrastructure for testing AI-powered experiences with real users before launch
  • Define clear standards for pre-production testing and evidence-based decision-making
  • Partner with Product, Engineering, Design, and Research teams to translate testing needs into practical systems and workflows
  • Bring a technical perspective to research conversations and advocate for strong learning practices in cross-functional decision-making
  • Build, improve, and scale the testing infrastructure to support the development of AI-powered experiences
  • Collaborate with cross-functional teams to develop and refine AI-powered experiences
  • Develop and maintain documentation of testing infrastructure and processes
  • Stay up-to-date with industry trends and emerging technologies in AI and product development
  • Participate in research and development initiatives to drive innovation and growth
  • Collaborate with stakeholders to identify and prioritize testing needs

What We Are Looking For

  • Strong technical skills, including proficiency in Excel and experience with AI-powered systems
  • Experience in research and development, with a focus on AI and product development
  • Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams
  • Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions
  • Experience with testing infrastructure and evidence-based decision-making
  • Strong understanding of user needs and experience with user testing and experimentation
  • Experience working in a fast-paced, collaborative environment
  • Strong research judgment and ability to make data-driven decisions
  • Experience with agile development methodologies and version control systems

Nice to Have

  • Experience with design and development of AI-powered systems
  • Knowledge of machine learning and deep learning concepts
  • Experience with cloud-based technologies and infrastructure
  • Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD)
  • Experience with data analytics and visualization tools

Benefits and Perks

  • Competitive salary and equity package
  • Opportunity to work on cutting-edge projects and collaborate with cross-functional teams
  • Comprehensive benefits package, including health, dental, and vision insurance
  • Flexible work arrangements, including remote work options
  • Professional development opportunities, including training and education programs
  • Access to the latest technologies and tools
  • Collaborative and dynamic work environment
  • Recognition and reward programs for outstanding performance
  • Paid time off and holidays
  • Parental leave and family benefits
  • Employee discounts on Zillow products and services

How to Stand Out

  • When applying for this role, be prepared to showcase your technical expertise in AI and product development, as well as your experience with research and development.
  • Highlight your ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  • Emphasize your problem-solving skills and experience with testing infrastructure and evidence-based decision-making.
  • Be prepared to discuss your experience with agile development methodologies and version control systems.
  • Showcasing your understanding of user needs and experience with user testing and experimentation can be a major advantage in this role.
  • Consider including examples of your work, such as projects or research papers, to demonstrate your skills and expertise.
  • Be prepared to discuss your experience with data analytics and visualization tools, as well as your ability to make data-driven decisions.

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