AI Engineer for Generative Model Safety

7 days ago


San Francisco, California, United States Apple Full time

We're looking for scientists and engineers to work on ambitious projects that will impact the future of Apple's products and the broader world. As a member of the Apple HCMI group, you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on generative AI.

Key Responsibilities
  • Develop models, tools, and metrics for assessing and evaluating the safety of generative models over the model deployment lifecycle
  • Develop models and tools to interpret and explain failures in language and diffusion models
  • Build and maintain human annotation and red teaming pipelines to assess quality and risk of various Apple products
  • Prototype, implement, and evaluate new ML models and algorithms for red teaming LLMs

In this role, you'll have the chance to work with highly-sensitive content and be exposed to offensive and controversial content. You'll also have the opportunity to contribute to diverse teams in a collaborative environment.

Requirements
  • Strong engineering skills and experience in writing production-quality code in Python, Swift, or other programming languages
  • Background in generative models, natural language processing, LLMs, or diffusion models
  • Experience with failure analysis, quality engineering, or robustness analysis for AI/ML-based features
  • Experience working with crowd-based annotations and human evaluations
  • Experience working on explainability and interpretation of AI/ML models
What We Offer
  • A base pay range of $175,800 to $264,200, depending on your skills, qualifications, experience, and location
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments, as well as relocation assistance (if eligible)

We're an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.



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