Machine Learning Engineer - Maps Search
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.
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, so join us and help us in building a world class search team!","responsibilities":"Develop and optimize ML algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search.
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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.
Preferred Qualifications
Ph.D in Computer Science or equivalent field with 7+ years of industry experience
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, and Hive is highly desired
Knowledge and prior experience with some deep learning and GenAI frameworks and LLMs
Prior experience in consumer facing product development and delivery
Prior experience as a team lead
Minimum Qualifications
MS in computer science or equivalent field with 7+ years of industry experience
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
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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