Applied AI Scientist

Apple Inc

Quick summary

Work type
On-site
Location
Culver City, 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 $195k
This role $237k
$126k most similar roles pay here $321k

This role pays more than 74% of similar roles. Most pay $144,450–$246,150 — the shaded band above. At the midpoint, this role pays about $237k 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, particularly in creative applications such as video editing tools. You will build end-to-end ML pipelines, prototype new features, develop AI tools, and collaborate with cross-functional teams to deploy intelligent solutions. Ideal candidates have expertise in deep learning algorithms like CNNs, RNNs, and Transformers, along with proficiency in TensorFlow and PyTorch. Preferred qualifications include experience with SQL, generative AI techniques, computer vision, multimodal models, cloud platforms (AWS, GCP, Azure), MLOps tools, production model monitoring, software engineering practices, and cross-domain applications of AI/ML.

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 to analyze user behavior and derive product insights.
  • Monitor production models for data/model drift and run diagnostics.

What we're looking for

  • Expertise in deep learning algorithms and frameworks like CNN, RNN, Transformers, TensorFlow, PyTorch.
  • Experience building scalable ML/AI systems using cloud platforms and MLOps tools.
  • Strong background in statistical modeling, machine learning, and foundational AI development.
  • Hands-on experience with production model monitoring and data/model drift tracking.
  • Proficiency in computer vision, multimodal models, and video generation/understanding techniques.
  • Solid software engineering practices including version control, testing, and code review.

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