Applied AI Scientist

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
44 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $250k
$124k most similar roles pay here $339k

This role pays more than 82% of similar roles. Most pay $144,450–$246,150 — the shaded band above. At the midpoint, this role pays about $250k versus about $195k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Applied AI Scientist

Join our Applications team as an Applied AI Scientist to enhance our product intelligence through advanced machine learning and AI solutions. This senior role involves designing and implementing sophisticated ML models for complex problems, especially in creative applications such as video editing tools. You will build end-to-end ML pipelines, develop novel AI features, and collaborate with cross-functional teams to deploy intelligent systems. Essential skills include deep familiarity with deep learning algorithms (CNNs, RNNs, Transformers) and frameworks like TensorFlow or PyTorch, alongside strong analytical and communication abilities. Preferred qualifications encompass experience with SQL, generative AI techniques, computer vision, scalable cloud-based ML systems, production model monitoring, software engineering practices, and cross-domain AI applications. This role offers the opportunity to innovate at scale in a dynamic tech environment focused on creative automation and intelligence enhancement.

What you'll do

  • Design and develop sophisticated machine learning models to solve complex problems in creative applications.
  • Build end-to-end ML pipelines for novel AI-powered features in video editing apps.
  • Develop scalable AI tools using cloud platforms like AWS, GCP, or Azure.
  • Collaborate with product teams to bring intelligent solutions into production.
  • Apply statistical techniques and ML methods to analyze user behavior and content usage.
  • Monitor production models for data/model drift and run diagnostics to ensure accuracy.

What we're looking for

  • Expertise in deep learning algorithms and frameworks like CNN, RNN, Transformers, TensorFlow, PyTorch.
  • Experience building scalable ML/AI systems on cloud platforms such as AWS, GCP, Azure using MLOps tools.
  • Proficiency in computer vision, multimodal models, video generation/understanding for creative applications.
  • Hands-on experience with production model monitoring and tracking data/model drift.
  • Strong software engineering practices including version control, testing, and code review.
  • Ability to apply statistical and ML techniques to analyze user behavior and derive product insights.

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