Machine Learning Engineer
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
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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.
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.
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.
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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