Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- ML algorithmsintermediate
- query understandingintermediate
- intent modelingintermediate
- rankingintermediate
- semantic searchintermediate
- data-extraction pipelinesintermediate
- hands-on analysesintermediate
- collaborationintermediate
Required Qualifications
- MS in computer science or equivalent field with 3+ years of industry experience (experience, 3 years)
- Experience in delivering end-user facing ML driven products (experience)
- Strong programming experience in one or more of the following: Java, C++, Python (experience)
- Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. (experience)
- Excellent interpersonal and communication skills - working independently and/or in (experience)
- small teams (experience)
- Attention to detail, data accuracy and quality of output. (experience)
Preferred Qualifications
- Ph.D in computer science or equivalent field with 1+ years of industry experience. (experience, 1 years)
- Good knowledge in various facets of machine learning and natural language (experience)
- processing, such as classification, feature engineering, information extraction, (experience)
- clustering, semi-supervised learning, topic modeling and ranking (experience)
- Practical understanding of the mathematics behind modern machine learning, linear (experience)
- algebra and statistics. (experience)
- Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive (experience)
- is highly desired. (experience)
- Knowledge and prior experience with some deep learning and GenAI frameworks are (experience)
- desired. (experience)
Responsibilities
- 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.
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Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
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Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- ML algorithmsintermediate
- query understandingintermediate
- intent modelingintermediate
- rankingintermediate
- semantic searchintermediate
- data-extraction pipelinesintermediate
- hands-on analysesintermediate
- collaborationintermediate
Required Qualifications
- MS in computer science or equivalent field with 3+ years of industry experience (experience, 3 years)
- Experience in delivering end-user facing ML driven products (experience)
- Strong programming experience in one or more of the following: Java, C++, Python (experience)
- Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. (experience)
- Excellent interpersonal and communication skills - working independently and/or in (experience)
- small teams (experience)
- Attention to detail, data accuracy and quality of output. (experience)
Preferred Qualifications
- Ph.D in computer science or equivalent field with 1+ years of industry experience. (experience, 1 years)
- Good knowledge in various facets of machine learning and natural language (experience)
- processing, such as classification, feature engineering, information extraction, (experience)
- clustering, semi-supervised learning, topic modeling and ranking (experience)
- Practical understanding of the mathematics behind modern machine learning, linear (experience)
- algebra and statistics. (experience)
- Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive (experience)
- is highly desired. (experience)
- Knowledge and prior experience with some deep learning and GenAI frameworks are (experience)
- desired. (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs