Machine Learning Engineer, ASE Search Team

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$147,400–$272,100 / yr
Posted
3 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 59% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $224k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, ASE Search Team

As a Machine Learning Engineer at the ASE Search Team within Apple’s AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. Your daily tasks include applying machine learning, natural language understanding, and generative AI to model user intent and deliver personalized results. You will build and optimize cutting-edge data processing pipelines, retrieval algorithms, and ranking models at global scale while adhering to strict privacy standards. This hands-on role requires collaboration with cross-functional teams to bring advanced ML technologies into production, enhancing how users discover content in the Apple TV App, Siri, and Spotlight. Essential skills include expertise in Python, Java, Go, PyTorch, JAX, TensorFlow, and experience with big data tech like Hadoop, Scala, and Spark.

What you'll do

  • Solve complex research problems and implement machine learning solutions from concept to execution.
  • Design and deploy retrieval and ranking systems using semantics and user context data.
  • Build and optimize large-scale ML models to improve search relevance and personalization.
  • Analyze model performance to identify opportunities for enhancing search quality.
  • Develop automated tests for continuous integration and ensure successful production deployment of ML systems.
  • Conduct A/B tests to measure improvements in search functionality and user experience.

What we're looking for

  • Experience in machine learning, NLP, IR, or Large Language Models (LLMs).
  • Strong programming skills in Python, Java, and Go for scalable ML systems.
  • Expertise in ML libraries like PyTorch, JAX, TensorFlow for model training and deployment.
  • Hands-on experience with big data technologies such as Hadoop, Spark, and Scala.
  • In-depth knowledge of search fundamentals, including indexing and ranking algorithms.
  • Familiarity with A/B testing and data-driven product development methodologies.

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