Staff Senior Machine Learning Engineer, Search & Knowledge Platform

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$308,500 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $234k
This role $242k
$159k most similar roles pay here $325k

This role pays more than 52% of similar roles. Most pay $211,200–$256,950 — the shaded band above. At the midpoint, this role pays about $242k versus about $234k for comparable roles.

Based on 240 similar postings.

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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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Staff Senior Machine Learning Engineer, Search & Knowledge Platform

Staff/Senior Machine Learning Engineer, Search & Knowledge Platform joins the Information Intelligence team to develop next-generation search and question answering systems across various products. This role involves building fundamental blocks for AI-powered experiences by focusing on query understanding, retrieval, and ranking. The engineer will work with petabytes of data from structured and unstructured sources to improve match quality using embeddings and deep learning. Key responsibilities include training, fine-tuning, and deploying models at scale while optimizing for online inference. The candidate will utilize PyTorch, TensorFlow, or JAX to build models for retrieval and relevance ranking. Required skills include proficiency in C++, Python, Scala, or Go, along with expertise in large language models, RAG, and natural language processing to address complex information-seeking needs and improve search accuracy across the product ecosystem.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 66 postings across 14 companies.

See salary data

What you'll do

  • Translate product requirements into specific modeling and engineering tasks.
  • Analyze search ranking, relevance requirements, and opportunities for improvement.
  • Build machine learning models for retrieval, relevance ranking, and query understanding.
  • Train and deploy deep learning models using PyTorch, TensorFlow, or JAX.
  • Implement LLM and RAG techniques to understand user intent and rank documents.
  • Develop tools and frameworks to evaluate individual components and end-to-end quality.
  • Optimize models for online inference at scale.
  • Process petabytes of structured and unstructured data to provide accurate answers.

What we're looking for

  • Must have a Master's degree in Computer Science or a related field.
  • A PhD in Computer Science, AI, Machine Learning, Information Retrieval, or Data Science is preferred.
  • Requires 10+ years of experience in machine learning, deep learning, or a related field.
  • Requires 10+ years of experience shipping Search and Q&A technologies and ML systems.
  • Must have excellent programming skills in C++, Python, Scala, and Go.
  • Experience is required in building models for retrieval, relevance ranking, and query understanding using PyTorch, TensorFlow, or JAX.
  • Preferred experience includes working with foundation models, LLMs, NLP, and production systems.
  • Must possess strong analytical, communication, and interpersonal skills to collaborate on complex technical topics.

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