AI Evaluation Engineer Health

Apple

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profile Job Location:

Cupertino, CA - USA

profile Monthly Salary: USD 147400 - 272100
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

In this role you will: - Design and implement evaluation frameworks for measuring model performance including human annotation protocols quality control mechanisms statistical reliability analysis and LLM-based autograders to scale evaluation- Apply statistical methods to extract meaningful signals from human-annotated datasets derive actionable insights and implement improvements to models and evaluation methodologies- Analyze model behavior identify weaknesses and drive design decisions with failure analysis. Examples include but not limited to: model experimentation adversarial testing creating insight/interpretability tools to understand and predict failure modes.- Work across the entire ML development cycle such as developing and managing data from various endpoints managing ML training jobs with large datasets and building efficient and scalable model evaluation pipelines- Collaborate with engineers to build reliable end-to-end pipelines for long-term projects- Work cross-functionally to apply algorithms to real-world applications with designers clinical experts and engineering teams across Hardware and Software- Independently run and analyze ML experiments for real improvements


  • BS and a minimum of 10 years relevant industry experience
  • Proficiency in Python and ability to write clean performant code and collaborate using standard software development practices
  • Experience in building data and inference pipelines to process large scale datasets
  • Strong statistical analysis skills and experience validating data quality and model performance
  • Experience with applied LLM development prompt engineering chain of thought etc.


  • MS or PhD in relevant fields
  • Experience with LLM-based evaluation systems and synthetic data generation techniques and evaluating and improving such systems
  • 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
In this role you will: - Design and implement evaluation frameworks for measuring model performance including human annotation protocols quality control mechanisms statistical reliability analysis and LLM-based autograders to scale evaluation- Apply statistical methods to extract meaningful signal...
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Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

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