Apple
AIML - Machine Learning and Applied Research, Responsible AI and Safety
Cupertino, California +3 · Full-time · Posted Mar 12, 2026
- Location
- Cupertino, California
Pittsburgh, Pennsylvania
San Francisco, California
Seattle, Washington - Experience
- 3+ years in machine learning; 4+ years in related responsible AI research or product deployment.
- Education
- PhD, MS, or BS in Computer Science, Machine Learning, or related fields, or an equivalent qualification acquired through other avenues.
About the job
Develop responsible AI policies and safety evaluations for global generative AI products, collaborating across research, engineering, design, legal, and regulatory teams.
What you'll do
- Shape safety policies with leadership and cross-functional stakeholders.
- Create and curate evaluation datasets, annotations, and auto-grading methods for safety evaluations.
- Analyze evaluation results to understand impacts on user experience.
What they ask for
- Proven machine learning ability involving generative models, NLP, or Computer Vision.
- Research or product deployment record in responsible AI-related areas, with publications in top ML venues.
- Strong research fundamentals and knowledge of machine learning principles and development methodologies for LLMs, foundation models, and diffusion models.
- Experience using generative models for evaluation or product development, with current knowledge of their challenges and failures.
Nice to have
- Experience in Responsible AI.
- Interest in fairness and bias in generative AI, cross-functional work, or shipping complex AI systems at global scale.
Tools
Transformers, LLMs, VLMs, NLP, Computer Vision, foundation models, diffusion models
AI focus
Responsible AI policies and safety evaluation for global generative AI products.
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