Senior Search Machine Learning Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$272,100 / yr
Posted
23 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $227k
$153k most similar roles pay here $285k

This role pays more than 64% of similar roles. Most pay $174,880–$246,150 — the shaded band above. At the midpoint, this role pays about $227k versus about $211k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior Search Machine Learning Engineer

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As a Senior Search Machine Learning Engineer at Apple Maps, you will join a dynamic and innovative team focused on enhancing the intelligence and accuracy of search functionalities using advanced machine learning techniques. Your daily responsibilities include developing and optimizing algorithms for query understanding, intent modeling, ranking, and semantic search to improve user experiences. You will also design data-extraction pipelines and collaborate with cross-functional teams to implement cutting-edge features. Key technologies and skills required are proficiency in Python or other programming languages, experience with TensorFlow, PyTorch, or JAX, and expertise in natural language processing and big data frameworks like Hadoop and Spark. This role offers a unique opportunity to work at the intersection of science and engineering, impacting millions of users globally by advancing the next generation of Maps technology.

Skills

Python Tensorflow Pytorch Jax Java C++ Hadoop Spark Hive Generative AI Large Language Models NLP Classification Feature Engineering Information Extraction Clustering Semi-supervised Learning Topic Modeling Ranking Big Data Processing

What you'll do

  • Develop and optimize Machine Learning algorithms for query understanding, intent modeling, ranking, and semantic search.
  • Design and develop backend data-extraction pipelines with tools and processes for hands-on analysis.
  • Mentor aspiring applied scientists/engineers to expand their scope and impact within the team.
  • Collaborate on innovative features using Generative AI and Large Language Models in search or NLP tasks.
  • Apply expertise in machine learning, natural language processing, and big data technologies to enhance user experiences.

What we're looking for

  • MS or Ph.D. in computer science with 7+ years of industry experience
  • Proven record in delivering end-user facing machine learning products
  • Strong programming skills in Java, C++, Python and knowledge of TensorFlow/PyTorch/Jax
  • Expertise in machine learning techniques including classification, feature engineering, clustering, and ranking
  • Practical understanding of mathematics behind modern machine learning, linear algebra, and statistics
  • Experience with big data processing tools like Hadoop, Spark, Hive

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