Senior Machine Learning Engineer (Search)
Apple
Senior Machine Learning Engineer (Search)
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 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 Machine Learning and Generative AI 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 Machine Learning 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. • Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team! • Develop and optimize Machine Learning 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. • Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- develop and optimize Machine Learning algorithmsintermediate
- query understandingintermediate
- intent modelingintermediate
- rankingintermediate
- semantic searchintermediate
- design and develop toolsintermediate
- develop processesintermediate
- analyticsintermediate
- backend data-extraction pipelinesintermediate
- hands-on analysesintermediate
- collaborate with teamsintermediate
- develop featuresintermediate
- develop and mentor engineersintermediate
- applied scienceintermediate
Required Qualifications
- MS in computer science or equivalent field with 7+ years of industry experience (experience, 7 years)
- Proven record in delivering end-user facing Machine Learning 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 small teams (experience)
- Attention to detail, data accuracy and quality of output. (experience)
Preferred Qualifications
- Ph.D in computer science or equivalent field with 7+ years of industry experience. (experience, 7 years)
- 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 (experience)
- Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics. (experience)
- Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired. (experience)
- Proven expertise in applying Generative AI & Large Language Models (e.g., prompt engineering, model fine-tuning) to search or NLP tasks. (experience)
- Prior experience in consumer facing product is desired. (experience)
- Prior team lead experience is 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 Machine Learning 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.
- * Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
- * Develop and optimize Machine Learning 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.
- * Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
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Senior Machine Learning Engineer (Search)
Apple
Senior Machine Learning Engineer (Search)
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 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 Machine Learning and Generative AI 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 Machine Learning 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. • Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team! • Develop and optimize Machine Learning 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. • Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- develop and optimize Machine Learning algorithmsintermediate
- query understandingintermediate
- intent modelingintermediate
- rankingintermediate
- semantic searchintermediate
- design and develop toolsintermediate
- develop processesintermediate
- analyticsintermediate
- backend data-extraction pipelinesintermediate
- hands-on analysesintermediate
- collaborate with teamsintermediate
- develop featuresintermediate
- develop and mentor engineersintermediate
- applied scienceintermediate
Required Qualifications
- MS in computer science or equivalent field with 7+ years of industry experience (experience, 7 years)
- Proven record in delivering end-user facing Machine Learning 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 small teams (experience)
- Attention to detail, data accuracy and quality of output. (experience)
Preferred Qualifications
- Ph.D in computer science or equivalent field with 7+ years of industry experience. (experience, 7 years)
- 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 (experience)
- Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics. (experience)
- Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired. (experience)
- Proven expertise in applying Generative AI & Large Language Models (e.g., prompt engineering, model fine-tuning) to search or NLP tasks. (experience)
- Prior experience in consumer facing product is desired. (experience)
- Prior team lead experience is 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 Machine Learning 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.
- * Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
- * Develop and optimize Machine Learning 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.
- * Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Engineer (Search) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs