Apple · 3 hours ago
Senior Machine Learning Engineer – Ads Signals Intelligence and Information Retrieval
Cupertino, CA
Full-time
Onsite
Mid, Senior Level
$181K/yr - $318K/yr
4+ years expApple is focused on enhancing customer experience through advertising technology. They are seeking a Senior Machine Learning Engineer to develop advanced ML-driven signal platforms for ad retrieval, prediction, and relevance across their advertising ecosystem.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple’s advertising ecosystem
Build content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates
Enable smarter, privacy-aware decision-making throughout the ad delivery stack
Develop 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
Work on problems at the cutting edge of retrieval, multimodal learning, LLMs, and content intelligence
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
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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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