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Machine Learning Engineer (Search)

Apple

Software and Technology Jobs

Machine Learning Engineer (Search)

full-timePosted: Sep 22, 2025

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. 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.

Locations

  • Cupertino, California, United States 95014

Salary

Estimated Salary Rangemedium confidence

30,000,000 - 80,000,000 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

Required Qualifications

  • MS in computer science or equivalent field with 4+ years of industry experience (experience, 4 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 4+ years of industry experience. (experience, 4 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

  • 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.

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Apple logo

Machine Learning Engineer (Search)

Apple

Software and Technology Jobs

Machine Learning Engineer (Search)

full-timePosted: Sep 22, 2025

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. 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.

Locations

  • Cupertino, California, United States 95014

Salary

Estimated Salary Rangemedium confidence

30,000,000 - 80,000,000 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

Required Qualifications

  • MS in computer science or equivalent field with 4+ years of industry experience (experience, 4 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 4+ years of industry experience. (experience, 4 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

  • 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.

Target Your Resume for "Machine Learning Engineer (Search)" , Apple

Get personalized recommendations to optimize your resume specifically for Machine Learning Engineer (Search). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Machine Learning Engineer (Search)" , Apple

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Hardware

Answer 10 quick questions to check your fit for Machine Learning Engineer (Search) @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.