Job Details

Weekly Hours: 40

Role Number: 200604194-0836

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.
In this role, some of the projects you will contribute to include but are not limited to:
•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.

This position involves a wide variety of skills and innovation, it is a unique opportunity
that sits at the intersection of science and engineering. Ultimately, your work would
have a huge impact on millions of users across the globe.

Minimum Qualifications

• MS in computer science or equivalent field with 3+ years of industry experience

• Experience 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 with 1+ years of industry experience.

• Good knowledge 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 are

• desired.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .