Applied AI Scientist

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$171,600–$302,200 / yr
Posted
44 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $237k
$145k most similar roles pay here $319k

This role pays more than 68% of similar roles. Most pay $162,168–$246,237 — the shaded band above. At the midpoint, this role pays about $237k versus about $204k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 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, prototype innovative features, develop AI tools, and collaborate with cross-functional teams to deploy intelligent systems. Essential skills include expertise in deep learning algorithms (CNNs, RNNs, Transformers) and frameworks like TensorFlow or PyTorch, along with 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.

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 engineering teams to implement intelligent solutions into production systems.
  • Apply statistical and ML techniques to analyze user behavior and derive product insights.
  • Monitor production models for data/model drift and run diagnostics to ensure accuracy.

What we're looking for

  • Proficient 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.
  • Expertise in statistical modeling, machine learning techniques for analyzing user behavior and content usage.
  • Hands-on experience with production model monitoring, including tracking data/model drift and diagnostics.
  • Strong software engineering skills including version control, testing, code review, and collaboration across teams.

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