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Apple Machine Learning Engineer – Ads Signals Intelligence United States, New York, New York 824204506
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- Design, implement, and scale ML systems that extract high-value semantic signals from structured and unstructured content - Contribute to retrieval and ranking pipelines using techniques in query understanding, semantic embedding, and dense/sparse indexing - Fine-tune and apply Large Language Models (LLMs) for NLP tasks like content labeling, rewriting, and semantic similarity - Construct and use knowledge graphs and entity linking systems for enriching creative and query signals - Work with multimodal data (e.g., combining text, image, and metadata signals) to build robust, cross-domain signal representations This role focuses on developing rich semantic signals from a variety of sources—including queries, creatives, metadata, and user interactions—to support scalable ad retrieval, creative ranking, and marketplace optimization. You'll work at the forefront of LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data.- Build core components for a content understanding platform, such as entity extraction, topic modeling, creative summarization, and taxonomy generation - Own experimentation, offline evaluation, and online validation of signal pipelines at massive scale
- 3+ years of experience in ML or applied research, with a focus 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 one or more of ML frameworks like PyTorch, TensorFlow
- Background in statistical modeling, optimization, and ML theory
- Demonstrated ability to deliver high-impact ML solutions in production environments
- Bachelor's degree, or equivalent experience, in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field or experience
- 5+ years of experience in ML or applied research, with a focus on retrieval, ranking, NLP, or content understanding
- Exposure to ad tech domains such as auction modeling, targeting, attribution, or creative optimization
- MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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