ML Applied Scientist, Apple Services Engineering AI/ML

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
56 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $199k
$125k most similar roles pay here $275k

This role pays less than 64% of similar roles. Most pay $174,800–$246,150 — the shaded band above. At the midpoint, this role pays about $199k versus about $210k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · ML Applied Scientist, Apple Services Engineering AI/ML

Join the Apple Services Engineering AI/ML team as an Applied Scientist where you will drive innovation in Machine Learning and Natural Language Processing by designing and deploying advanced models for user-facing features. Your day-to-day involves tackling complex research challenges, developing high-performance components using C++ or Go within large-scale distributed systems, and conducting rigorous A/B tests to measure feature impact across multiple languages and devices. With expertise in NLP, Information Retrieval, and Generative AI, you will work closely with engineers and researchers to ensure models function at expected performance levels globally. Ideal candidates have a strong background in ML frameworks like PyTorch or TensorFlow, experience with big data technologies such as Hadoop and Spark, and a passion for enhancing user discovery experiences on Apple’s diverse ecosystem of services and devices.

What you'll do

  • Tackle complex research challenges by inventing novel AI/ML solutions from ideation to production.
  • Design and fine-tune Large Language Models (LLMs) for user-facing features.
  • Develop high-performance components in large-scale distributed systems using C++ or Go.
  • Own end-to-end deployment of features, code, data, and models in production.
  • Conduct rigorous A/B tests to measure the impact of new features on user experience.
  • Perform data analysis with big data technologies to improve content discovery globally.

What we're looking for

  • 2+ years professional AI/ML experience
  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow
  • Industry experience in Generative AI, Agentic AI systems, NLP, Search Relevance/Ranking
  • Solid understanding of modern ML concepts including Transformers, LLMs, model evaluation techniques
  • Experience with large-scale data pipelines and big data technologies
  • Expertise in building low-latency model serving systems using Go (Golang)

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