Senior Machine Learning Engineer, Search & Knowledge Platform

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $171,600–$302,200 / yr
Posted: 48 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k

This role $237k

$156k most similar roles pay here $318k

This role pays more than 60% of similar roles. Most pay $198,600–$251,750 — the shaded band above. At the midpoint, this role pays about $237k versus about $225k 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 1780 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1441 roles with salary data.

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At a glance

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

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As a Staff Machine Learning Engineer on Apple’s Search & Knowledge Platform team, you will play a pivotal role in shaping the next generation of search technologies across Siri, Safari, Spotlight, and other key products. Your responsibilities include translating product requirements into modeling tasks, analyzing ranking and relevance issues, and utilizing frameworks like PyTorch, TensorFlow, or JAX to develop sophisticated ML models for retrieval, ranking, and query understanding. You will work with petabytes of data, integrating information from various sources to enhance user experiences through cutting-edge techniques such as LLMs and RAG. This role demands expertise in deep learning, strong software engineering skills, and experience in shipping search and Q&A technologies at scale.

Skills

Python PyTorch TensorFlow JAX C++ Scala Go LLM RAG NLP Information_Retrieval CI/CD

What you'll do

Translate product requirements into modeling and engineering tasks.
Analyze search ranking and relevance issues to identify improvement opportunities.
Utilize PyTorch, TensorFlow, or JAX for training and deploying deep learning models.
Build ML models for retrieval, relevance ranking, and query understanding.
Leverage and improve upon the latest deep learning techniques like LLMs and RAG.

What we're looking for

MS in Computer Science or related field with 10+ years of machine learning experience
Extensive experience shipping Search and Q&A technologies and ML systems
Proficiency in PyTorch, TensorFlow, JAX for training and deploying deep learning models
Strong programming skills in C++, Python, Scala, and Go
Experience delivering tooling to evaluate individual components and end-to-end quality
Analytical skills to improve search relevance and answer accuracy systematically
Excellent communication and interpersonal skills for collaboration

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