Machine Learning Engineer, ASE Search Team

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $199k
$125k most similar roles pay here $277k

This role pays less than 66% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $199k 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

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As a Machine Learning Engineer on the Search team at Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. Your role involves applying machine learning, natural language understanding, and generative AI to model user intent and deliver personalized results. You will build cutting-edge data processing pipelines, retrieval algorithms, and ranking systems that operate at global scale while adhering to strict privacy standards. This hands-on position 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. The ideal candidate has experience with machine learning libraries like PyTorch, TensorFlow, and JAX, as well as expertise in Python, Java, and Go for building scalable systems. Knowledge of search and information retrieval fundamentals, including big data pipelines using Hadoop and Spark, is essential.

Skills

Python PyTorch TensorFlow JAX Java Go Hadoop Spark Scala A/B testing NLP ML libraries CI/CD Big data pipelines Search and information retrieval Ranking algorithms Vector databases Transformer architectures LLMs Prompt design Reinforcement learning

What you'll do

  • Design and implement retrieval and ranking systems using semantics and user context.
  • Build and deploy ML, NLP, and LLM models to improve search relevance and personalization.
  • Analyze data and model performance to identify opportunities for enhancing search quality.
  • Develop automated tests for continuous integration and ensure successful production deployment.
  • Conduct A/B tests to measure improvements in search functionality.
  • Utilize big data technology to evaluate content discovery features across platforms.

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, Scala, and Java.
  • In-depth knowledge of search fundamentals including indexing, ranking, retrieval algorithms.
  • Familiarity with A/B testing and data-driven product development methodologies.

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