Applied Research Engineer/Scientist

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
3 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $255k
$142k $344k
below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $187,062–$241,906 — the blue band above. At the midpoint, this role pays about $255k versus about $214k 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 3535 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2738 roles with salary data.

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At a glance

TL;DR · Applied Research Engineer/Scientist

The Applied Research Engineer/Scientist, Siri Labs joins the Siri organization to develop next-generation intelligent architectures for personal context understanding and on-screen awareness. 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. You will translate foundational research into scalable product experiences across various operating systems. The position requires a Master's or PhD in Computer Science or Machine Learning, along with strong programming skills and experience in ML development. Key technical requirements include understanding transformer-based models, large language models, and multi-modal foundation models. You will also perform pre-training, fine-tuning, and performance optimization to solve complex problems in personalized, autonomous AI technologies.

What you'll do

  • Advance self-improving systems that learn from deployment signals and optimize performance autonomously in real-world environments.
  • Design and operationalize agentic memory frameworks to enable long-horizon reasoning and contextual continuity.
  • Develop autonomous multi-agent systems capable of task decomposition, tool use, and dynamic collaboration.
  • Translate foundational AI research into validated user experiences and production-ready architectures.
  • Conduct product-oriented research and rapid prototyping to build scalable machine learning systems.
  • Deliver ML systems that integrate across hardware, software, and services to influence platform strategy.

What we're looking for

  • Master's or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
  • Experience with machine learning through hands-on work in product development, prototyping, or research environments.
  • Strong programming skills with experience in machine learning development.
  • Understanding of transformer-based models.
  • Ability to communicate technical concepts to team members.
  • Experience with prototyping in ML/AI contexts.
  • Knowledge of large language models (LLMs) and multi-modal foundation models (preferred).
  • Experience with pre-training, fine-tuning, or performance optimization (preferred).

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