Advanced degree in computer science or related field
Experience evaluating llms or program synthesis systems
Apple is seeking an ML Safety Engineer to join their Apple Services Engineering team, focusing on developing automated safety benchmarking methodologies for AI features across various platforms. The role requires strong technical expertise in Python and experience with AI/ML models, alongside a commitment to ensuring responsible and safe AI experiences
Job Summary
This role leads the design of automated safety benchmarking methodologies for Apple's AI features across App Store, Music, and Video.
The successful candidate will develop rigorous evaluation frameworks to assess risks and ensure safe performance of advanced AI/ML models.
You will collaborate cross-functionally with Engineering, Product, and Governance teams to translate safety insights into actionable product improvements.
Matching Summary
Match Score: 85
Apple is seeking an ML Safety Engineer to join their Apple Services Engineering team, focusing on developing automated safety benchmarking methodologies for AI features across various platforms. The role requires strong technical expertise in Python and experience with AI/ML models, alongside a commitment to ensuring responsible and safe AI experiences.
Skills & Requirements
Must-have
Python proficiency with pandas NumPy PyTorch
Advanced degree in Computer Science or related field
Experience evaluating LLMs or program synthesis systems
Strong background in empirical evaluation and experimental design
Deep familiarity with software engineering workflows
Nice-to-have
Publications in AI/ML evaluation fields
Experience with human-in-the-loop evaluation setups
Familiarity with RAG systems and reinforcement learning
Background in social science or cognitive science
Intermediate or advanced proficiency in Swift
Key Requirements
MS or PhD in Computer Science or equivalent experience
1+ years of work experience as a postdoc or in industry
Strong research background in empirical evaluation and benchmarking