Machine Learning Engineer

Summary
Apple Maps and the thousands of applications it empowers are being used by millions

every single day! As a fundamental tool for human activity, Maps technology is evolving

and new techniques are emerging.

We are looking for a Machine Learning Engineer to join and help play a big part in the

next revolution of Maps; to enable users to find more things in innovative ways. On our

team, you will have plenty of opportunities to build groundbreaking technologies using

ML and GenAI at scale to improve the search quality for Apple Maps.

Description
The goal of Maps Search team is to take Apple’s Maps to the next level of intelligence

and accuracy using machine learning and artificial intelligence techniques. Engineers

and scientists on our team work on a wide spectrum of approaches to improve search

experiences on Apple Maps.

Responsibilities

• Develop and optimize ML algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search
• Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.
• Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.
• Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
  
  

Minimum Qualifications

• MS in computer science or equivalent field
• Proven record in delivering end-user facing ML driven products
• Strong programming experience in one or more of the following: Java, C++, Python
• Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.
• Excellent interpersonal and communication skills - working independently and/or in small teams
• Attention to detail, data accuracy and quality of output
  
  

Preferred Qualifications

• Ph.D in computer science or equivalent field
• Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking
• Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
• Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.
• Knowledge and prior experience with some deep learning and GenAI frameworks and LLMs are desired.
• Prior experience in consumer facing product is desired.
• Prior team lead experience is desired.
  
  

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200663922-2982