Machine Learning Engineer
AppleUnited States3 days ago
Full-timeEngineering, Information Technology
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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:
questions.
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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
Apple accepts applications to this posting on an ongoing basis.
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
- Design and develop tools, processes and analytics for backend data-extraction
questions.
- Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting
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.
- 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.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
Apple accepts applications to this posting on an ongoing basis.
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