drjobs AI Evaluation Data Scientist - Health

AI Evaluation Data Scientist - Health

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1 Vacancy
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Job Location drjobs

Cupertino, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

In this role you will: - Design and analyze human evaluations of AI systems to create reliable annotation frameworks and ensure validity and reliability of measurements of latent constructs- Develop and refine benchmarks and evaluation protocols using statistical modeling test theory and task design to capture model performance across diverse contexts and user needs- Conduct statistical analysis of evaluation data to extract meaningful insights identify systematic issues and inform improvements to both models and evaluation processes- Analyze model behavior identify weaknesses and drive design decisions with failure analysis. Examples include but not limited to: model experimentation adversarial testing counterfactual analysis creating tools to assess model behavior and user impact- Collaborate with engineers to translate evaluation methods and analysis techniques into scalable adaptable and reliable solutions that can be reused across different features use cases and evaluation workflows- Work cross-functionally to apply methods to real-world applications with designers clinical experts and engineering teams across Hardware and Software- Independently run and analyze experiments for real improvements


  • Bachelors degree (or equivalent experience) in a empirical field with emphasis on quantitative methodologies of human behavior including HCI Psychometrics Quantitative or Experimental Psychology Educational Measurement Language Assessment or a relevant field
  • Proficiency in Python and ability to write clean performant code and collaborate using standard software development practices (e.g. Git)
  • Strong statistical analysis skills and experience in crafting experiments validating data quality and model performance
  • Experience in building and extending data and inference pipelines to process large scale datasets


  • MS and a minimum of 3 years of relevant industry experience or PhD in relevant fields
  • Real-world experience with LLM-based evaluation systems and human annotation and human evaluation methodologies
  • Experience in rigorous evidence-based approaches to test development e.g. quantitative and qualitative test design reliability and validity analysis
  • Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products
  • Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders

Employment Type

Full Time

Company Industry

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