Apple's Ads Signals Intelligence team is seeking an experienced Machine Learning Engineer to develop advanced ML-driven signal platforms for Apple's advertising ecosystem. The role emphasizes building content understanding systems and large-scale infrastructure for real-time signal updates. Candidates will work on extracting structured intelligence from unstructured data to enhance ad retrieval and ranking. This position is crucial for shaping the foundation of Apple's ad ranking and relevance systems while ensuring privacy-centric solutions.

• 4+ years of experience in machine learning or applied research, focusing on retrieval, ranking, NLP, or content understanding.
• Deep understanding of information retrieval, semantic search, and query-document matching.
• Strong hands-on experience with LLM fine-tuning, knowledge graph construction, and entity-centric modeling.
• Experience working with multimodal models, including text, vision, metadata, or audio-based representations.
• Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
• Background in statistical modeling, optimization, and ML theory.
• Exposure to ad tech domains such as auction modeling, targeting, attribution, or creative optimization is a plus.
• Demonstrated ability to deliver high-impact ML solutions in production environments.
• Bachelor's in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field.

• Develop ML-driven signal platforms that power retrieval, prediction, and relevance across Apple's advertising ecosystem.
• Build content understanding systems and large-scale infrastructure for near real-time signal updates.
• Extract structured intelligence from various sources, including queries, creatives, metadata, and user interactions.
• Support scalable ad retrieval, creative ranking, and marketplace optimization.
• Work on LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning.
• Contribute to high-performing, privacy-first advertising experiences at scale.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.