below marketmost similar roles pay hereabove market
This role pays more than
85%
of similar roles. Most pay
$174,475–$236,250
— the blue band above.
At the midpoint, this role pays about
$255k
versus about
$205k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Applied Research Engineer/Scientist joins the Siri organization to develop next-generation intelligent architectures for Apple Intelligence. This role focuses on building self-improving systems that learn from deployment signals, designing agentic memory frameworks for long-horizon reasoning, and developing autonomous multi-agent systems capable of task decomposition and tool use. The engineer will translate foundational research into scalable product experiences, ensuring contextual continuity and personalization across various operating systems. Key technical requirements include strong programming skills, experience with machine learning development, and an understanding of transformer-based models. Preferred qualifications include knowledge of large language models, multi-modal foundation models, and experience with pre-training, fine-tuning, or performance optimization. The work addresses the technical challenge of creating deeply personalized, autonomous AI that retains persistent memory and coordinates complex tasks.
Large Language Models
Reinforcement Learning
PyTorch
Multimodal Reasoning
Distributed Training
Post-Training
Prompt Optimization
Agentic Systems
Generative Modeling
Computer Vision
Machine Learning
Context Compaction
Memory Systems
Tool-use
Data Infrastructure
Large Language Models
Reinforcement Learning
PyTorch
Multimodal Reasoning
Distributed Training
Post-Training
Prompt Optimization
Generative Modeling
Agentic Systems
Context Compaction
Memory Systems
Computer Vision
Machine Learning
Data Infrastructure
Artificial Intelligence
Machine Learning
Computer Vision
Image Processing
Python
Physically Based Rendering
3D Scene Data
Image Generation
Image Restoration
Segmentation
Statistics
Scene Semantic Understanding
Light Transport
Illumination Transfer
Appearance Editing