Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k

This role $250k

$165k most similar roles pay here $335k

This role pays more than 70% of similar roles. Most pay $197,981–$259,212 — the shaded band above. At the midpoint, this role pays about $250k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1798 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1459 roles with salary data.

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At a glance

TL;DR · Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

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Apple’s Ads Signals Intelligence team is hiring a Staff Machine Learning Engineer to develop advanced ML-driven signal platforms that enhance retrieval, prediction, and relevance across Apple’s advertising ecosystem. This role involves building content understanding systems and large-scale infrastructure for near real-time updates, focusing on extracting rich semantic signals from diverse sources like queries, creatives, metadata, and user interactions. Key responsibilities include fine-tuning Large Language Models (LLMs) for NLP tasks, constructing knowledge graphs, working with multimodal data, and contributing to retrieval and ranking pipelines. The ideal candidate has 4+ years of experience in machine learning or applied research, proficiency in Python and frameworks like PyTorch or TensorFlow, and a deep understanding of information retrieval and semantic search. Experience in ad tech domains is beneficial but not required, as the role centers on building privacy-centric signals for Apple’s high-performing advertising experiences at scale.

Skills

Python PyTorch TensorFlow LLMs Knowledge Graphs Entity Linking Systems Multimodal Data Dense/Sparse Indexing Query Understanding Semantic Embedding NLP Information Retrieval CI/CD

What you'll do

Design and implement ML systems to extract high-value semantic signals from diverse data sources.
Contribute to retrieval and ranking pipelines using query understanding and semantic embedding techniques.
Fine-tune Large Language Models for tasks like content labeling and semantic similarity analysis.
Construct knowledge graphs and entity linking systems to enrich creative and query signals.
Work with multimodal data to build robust signal representations across different domains.

What we're looking for

4+ years of experience in machine learning or applied research focusing on retrieval and ranking
Deep expertise in information retrieval, semantic search, and query-document matching
Hands-on experience with LLM fine-tuning, knowledge graph construction, and entity-centric modeling
Proficiency in Python and ML frameworks like PyTorch or TensorFlow
Experience working with multimodal data including text, image, metadata, and audio
Strong background in statistical modeling, optimization, and machine learning theory
Demonstrated ability to deliver high-impact machine learning solutions in production environments

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Staff Machine Learning Engineer - Tools & Frameworks AI

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Cupertino, CA 91 days ago $181,100–$318,400

Python Java C++ TensorFlow PyTorch Scikit-learn Keras Spark MLOps CI/CD Docker Kubernetes AWS Azure Git Jupyter PostgreSQL MongoDB NLP Computer_Vision Reinforcement_Learning

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