Senior Apps Applied Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $171,600–$302,200 / yr
Posted: 38 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k

This role $237k

$103k most similar roles pay here $324k

This role pays more than 89% of similar roles. Most pay $142,475–$211,750 — the shaded band above. At the midpoint, this role pays about $237k versus about $177k 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.

Most-posted roles

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At a glance

TL;DR · Senior Apps Applied Scientist

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As a Senior Apps Applied Scientist on our Applications team, you will play a pivotal role in advancing our machine learning and artificial intelligence capabilities. Your primary responsibilities include designing and implementing sophisticated ML models for complex challenges, particularly within creative domains such as image editing apps. You will build end-to-end ML pipelines, develop innovative AI features, and collaborate with cross-functional teams to ensure these solutions are effectively integrated into production environments. Ideal candidates possess strong expertise in machine learning frameworks, Python programming, and experience with AI tools or APIs for model deployment. This role demands a deep understanding of statistical modeling and foundational AI principles, as well as the ability to communicate complex technical concepts clearly to non-technical stakeholders.

Skills

Python TensorFlow PyTorch Scikit-learn Pandas NumPy MLOps Docker Kubernetes AWS CI/CD Git Jupyter Notebook PostgreSQL RESTful APIs Swagger/OpenAPI GraphQL

What you'll do

Design and develop advanced machine learning models to solve complex problems.
Build end-to-end ML pipelines for scalable solutions in image editing apps.
Prototype novel AI-powered features to enhance product intelligence and automation.
Develop AI tools and frameworks to support model deployment and LLM applications.
Collaborate with engineering, product, and marketing teams to integrate intelligent solutions.

What we're looking for

Extensive experience in statistical modeling and machine learning development.
Proven ability to design and implement end-to-end ML pipelines.
Expertise in prototyping novel AI-powered features for creative applications.
Strong background in developing AI tools, frameworks, or APIs for model deployment.
Excellent communication skills for presenting complex analysis to business stakeholders.

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