Senior Apps Applied Scientist

Apple Inc

Quick summary

Work type
On-site
Location
New York City, NY
Salary
$181,100–$318,400 / yr
Posted
38 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $250k
$101k most similar roles pay here $342k

This role pays more than 93% of similar roles. Most pay $142,475–$211,750 — the shaded band above. At the midpoint, this role pays about $250k 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.

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At a glance

TL;DR · Senior Apps Applied Scientist

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 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 deliver intelligent solutions to market. Ideal candidates possess strong expertise in statistical modeling, machine learning frameworks, and foundational AI development, along with experience in creating AI tools and APIs for model deployment. This role demands a deep understanding of product sense and user experience, as well as the ability to communicate sophisticated concepts clearly to business stakeholders.

What you'll do

  • Design and develop advanced machine learning models to solve complex problems in creative applications.
  • Build end-to-end ML pipelines to integrate intelligent solutions into production environments.
  • Prototype novel AI-powered features for image editing apps and other products.
  • Develop AI tools, frameworks, or APIs to support model deployment and LLM-based applications.
  • Collaborate with engineering teams to implement scalable ML and AI solutions.

What we're looking for

  • Extensive experience in statistical modeling and machine learning.
  • Proven track record of building scalable ML and AI solutions.
  • Expertise in designing end-to-end ML pipelines and prototyping AI features.
  • Strong background in developing AI tools and frameworks for model deployment.
  • Excellent communication skills to present complex analysis clearly.

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