Senior Machine Learning Engineer – Ads Signals Intelligence and Information Retrieval
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
24-10-2025
Vacancies:
1 Vacancy
Job Summary
Apples Ads Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval prediction and relevance across Apples advertising ecosystemincluding the App Store and Apple News. This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates enabling smarter privacy-aware decision-making throughout the ad delivery stack. This role focuses on developing rich semantic signals from a variety of sourcesincluding queries creatives metadata and user interactionsto support scalable ad retrieval creative ranking and marketplace optimization. Youll work at the forefront of LLM fine-tuning knowledge graph construction semantic search and multimodal representation learning to extract structured intelligence from unstructured data. While ad tech knowledge is a strong bonus the core of the role is building high-quality privacy-centric signals that fuel some of Apples most advanced machine learning systems. As part of the Ads Signals Intelligence team youll be shaping the foundation of Apples ad ranking and relevance systems through world-class signal understanding. Youll work on problems at the cutting edge of retrieval multimodal learning LLMs and content intelligencewhile contributing to Apples mission to deliver high-performing privacy-first advertising experiences at scale.
- 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
- Bachelors in Computer Science Machine Learning Information Retrieval NLP or a related field.
- 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.
Required Experience:
Senior IC
Key Skills
- CNC
- Computer Software
- Equity Research
- Investment
- ITI
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
