Apple · 4 days ago
Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval
Cupertino, CA
Full-time
Onsite
Senior Level, Lead/Staff
4+ years expApple is a technology company focused on enhancing customer experiences through innovative advertising solutions. The Staff Machine Learning Engineer will develop ML-driven platforms for retrieval, prediction, and relevance, contributing to Apple's advertising ecosystem and ensuring privacy-aware decision-making.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
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 utilize 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
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
Collaborate across engineering, infra, and product teams to productionize systems while meeting Apple’s high standards for reliability and privacy
Qualification
Required
4+ years of experience in machine learning 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 in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field
Preferred
7+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding
MS or PhD in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase