Senior Apps Applied Scientist

Apple Inc

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $167k
This role $250k
$93k most similar roles pay here $343k

This role pays more than 93% of similar roles. Most pay $135,000–$199,387 — the shaded band above. At the midpoint, this role pays about $250k versus about $167k 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 · 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 AI capabilities by designing and implementing sophisticated models that address complex challenges, particularly within creative applications such as image editing software. Your day-to-day responsibilities include building end-to-end ML pipelines, prototyping innovative features, and developing AI tools to enhance product intelligence and automation. You will collaborate closely with engineering, product, and marketing teams to ensure these intelligent solutions are effectively integrated into our products. The ideal candidate possesses strong expertise in machine learning frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and a keen understanding of user experience principles. This role offers the opportunity to work on cutting-edge AI technologies at scale, driving significant impact across various business domains.

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 various business domains.
  • Prototype novel AI-powered features for creative applications like image editing.
  • Develop AI tools and frameworks to support model deployment and LLM-based apps.
  • Collaborate with engineering, product, and marketing teams to implement 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 scalable AI solutions for business domains.
  • Excellent skills in presenting complex analysis and concepts clearly.

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