AI Experience Researcher, Product Evaluation, Vision Products Group

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 month ago
0-15 years
Boulder, Colorado, United States
work from office

Posted: 1 month ago
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Applicants: 149+
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Job Description

The central challenge of this role is figuring out what "good" means for an AI experience, and then designing rigorous evaluations that measure those qualities reliably and at scale. This requires both deep theoretical grounding in human experience and a solid analytical mindset to operationalize that understanding into scalable evaluation frameworks.Leaning on research in human sciences, you will decompose complex AI interactions into their constituent parts, reason about how those parts interact, and build evaluation frameworks that hold up under the scrutiny of non-deterministic nature of AI experiences and the pressures of iterative product development. You will derive experimental designs, create golden data sets, write tests, and turn them into prompts for LLM judges or instructions for human raters. You will run automated evaluations, analyze results, and present findings to diverse stakeholders. Candidates who bring both quantitative rigor and a qualitative sensibility — to recognize patterns in model behaviors and outputs, and to develop an interpretive understanding of what the data is and isnt capturing from a human perspective — will thrive in this role.What matters most is the ability to hold both orientations at once — to think carefully about what makes an experience work, and to measure complex human dimensions with precision. We are also looking for someone who is excited to co-create what this discipline looks like going forward — bringing intellectual curiosity and a point of view about where human-centered AI evaluation should be headed.
  • Advanced degree in Cognitive Psychology, Human-Computer Interaction (HCI), User Experience (UX) Research, Learning Sciences, Learning Analytics, Psychometrics, Applied Behavioral Science, or a related field with a focus on human cognition, behavior, and empirical evaluation
  • A strong data-driven mindset with experience designing and conducting rigorous empirical research or evaluation — including experimental design, data analysis, and interpretation of various qualitative and quantitative data — particularly in the context of complex human-system interactions
  • Ability to reason from theoretical grounding about what makes an experience good in a given context, and to translate that reasoning into evaluation frameworks and measurement designs
  • Demonstrated ability to operationalize research literature, qualitative user feedback, and quantitative behavioral data into actionable evaluation criteria, observable metrics, and product insights
  • Proficiency in data analysis and interpretation, with a strong understanding of statistical validity in evaluation contexts
  • Exceptional collaboration skills with a track record of working effectively in cross-functional teams that include engineering, ML, design, QA, leadership, and subject matter experts of diverse domains
  • Strong communication skills, with the ability to translate complex research findings and evaluation results into clear, actionable recommendations for both technical and non-technical audiences
  • Familiarity with methods for capturing experiential quality beyond task success — such as cognitive interviews, think-aloud protocols, interaction analysis, or discourse and conversation analysis
  • Experience designing and implementing automated evaluation pipelines, including writing prompts for LLM judges and constructing human-in-the-loop or multi-turn evaluation setups

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  • Experience working with multimodal or agentic systems, AI/ML models, preferably Large Language Models
  • Familiarity with automated testing frameworks and tooling
  • Experience with data generation and annotation workflows, including curating datasets, scenarios, and tasks that represent realistic usage
  • Portfolio demonstrating previous evaluation frameworks, research findings, or measurable contributions to product improvement
  • Background in learning sciences or instructional design, with experience reasoning about what makes a complex human experience effective is a plus

Skills

Testing

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

09 Jun 26, 04:49 PM IST

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AI Experience Researcher, Product Evaluation, Vision Products Group

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