Apple · 3 months ago
Senior Machine Learning Engineer – Ads Signals Intelligence and Information Retrieval
Cupertino, California, United States
Full-time
Onsite
Mid, Senior Level
$181K/yr - $318K/yr
4+ years expApple focuses deeply on customer experience and is seeking a Senior Machine Learning Engineer for its Ads Signals Intelligence team. The role involves developing ML-driven signal platforms to enhance retrieval, prediction, and relevance across Apple's advertising ecosystem, emphasizing privacy-aware decision-making and high-quality signal generation.
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
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
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
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
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
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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
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