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Machine Learning Engineer - Gen AI

Apple

Software and Technology Jobs

Machine Learning Engineer - Gen AI

full-timePosted: May 7, 2025

Job Description

Are you a self-starter looking for an exciting career opportunity? Do you like to ship Data Science and Machine Learning solutions that impact millions of users around the world? A job at Apple is unlike any other you’ve had. You’ll be challenged, inspired, and you will be proud of your work. Maps are a significant part of our everyday lives. Whether you are looking for the nearest gas station, finding a transit route that gets you to the big game before kickoff, or selecting a peculiar restaurant for dinner with friends, you are relying on information and features from the Maps Engineering Team. At Apple, our team provides the foundation for building extraordinary customer experiences, with features that have become an indispensable part of so many lives around the world. We are looking for a Machine Learning Scientist/Engineer who takes full ownership of projects end to end, from initial data mining and research to prototyping, development, and final integration of AI/ML data solutions into production code that reaches millions of users. We are looking for a Machine Learning Scientist/Engineer to join our team and help shape the future of Apple Maps. In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. Your primary responsibility will be transforming high-level business objectives into measurable, technical requirements, including designing, implementing, and deploying cutting-edge models that solve real-world challenges. You’ll collaborate closely with cross-functional teams, including engineering and design, to architect scalable systems while continuously refining solutions through data-driven iteration. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

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

  • data miningintermediate
  • Machine Learningintermediate
  • AI/MLintermediate
  • prototypingintermediate
  • developmentintermediate
  • integration of AI/ML data solutionsintermediate
  • designingintermediate
  • implementingintermediate
  • deploying cutting-edge modelsintermediate
  • collaborate with cross-functional teamsintermediate
  • architect scalable systemsintermediate
  • data-driven iterationintermediate
  • takes initiativeintermediate
  • demonstrates ownershipintermediate
  • dive deep into dataintermediate
  • hands-on in building robust solutionsintermediate
  • thrive in a fast-paced environmentintermediate
  • resilienceintermediate
  • curiosityintermediate

Required Qualifications

  • 5+ years of experience in building large scale machine learning systems (experience, 5 years)
  • 3+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc), NLP and text data, Computer Vision (experience, 3 years)
  • Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics (experience)
  • Experience working with large scale and real world datasets (experience)
  • Metrics focused and passionate about delivering models that render high quality results (experience)
  • Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Python, Scala, Java, or C++ (experience)
  • Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies (experience)

Preferred Qualifications

  • Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields. (degree in phd degree in machine learning)
  • Hands on experience with multi-modal foundation models and understanding of state of the art approaches in the field (experience)
  • Experience shipping a complex AI system, including research and leveraging generative AI models (experience)
  • Excellent independent problem-solving skills (experience)
  • Excellent written and oral communication skills (experience)

Responsibilities

  • We are looking for a Machine Learning Scientist/Engineer to join our team and help shape the future of Apple Maps. In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. Your primary responsibility will be transforming high-level business objectives into measurable, technical requirements, including designing, implementing, and deploying cutting-edge models that solve real-world challenges. You’ll collaborate closely with cross-functional teams, including engineering and design, to architect scalable systems while continuously refining solutions through data-driven iteration.
  • The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

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Apple logo

Machine Learning Engineer - Gen AI

Apple

Software and Technology Jobs

Machine Learning Engineer - Gen AI

full-timePosted: May 7, 2025

Job Description

Are you a self-starter looking for an exciting career opportunity? Do you like to ship Data Science and Machine Learning solutions that impact millions of users around the world? A job at Apple is unlike any other you’ve had. You’ll be challenged, inspired, and you will be proud of your work. Maps are a significant part of our everyday lives. Whether you are looking for the nearest gas station, finding a transit route that gets you to the big game before kickoff, or selecting a peculiar restaurant for dinner with friends, you are relying on information and features from the Maps Engineering Team. At Apple, our team provides the foundation for building extraordinary customer experiences, with features that have become an indispensable part of so many lives around the world. We are looking for a Machine Learning Scientist/Engineer who takes full ownership of projects end to end, from initial data mining and research to prototyping, development, and final integration of AI/ML data solutions into production code that reaches millions of users. We are looking for a Machine Learning Scientist/Engineer to join our team and help shape the future of Apple Maps. In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. Your primary responsibility will be transforming high-level business objectives into measurable, technical requirements, including designing, implementing, and deploying cutting-edge models that solve real-world challenges. You’ll collaborate closely with cross-functional teams, including engineering and design, to architect scalable systems while continuously refining solutions through data-driven iteration. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

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

  • data miningintermediate
  • Machine Learningintermediate
  • AI/MLintermediate
  • prototypingintermediate
  • developmentintermediate
  • integration of AI/ML data solutionsintermediate
  • designingintermediate
  • implementingintermediate
  • deploying cutting-edge modelsintermediate
  • collaborate with cross-functional teamsintermediate
  • architect scalable systemsintermediate
  • data-driven iterationintermediate
  • takes initiativeintermediate
  • demonstrates ownershipintermediate
  • dive deep into dataintermediate
  • hands-on in building robust solutionsintermediate
  • thrive in a fast-paced environmentintermediate
  • resilienceintermediate
  • curiosityintermediate

Required Qualifications

  • 5+ years of experience in building large scale machine learning systems (experience, 5 years)
  • 3+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc), NLP and text data, Computer Vision (experience, 3 years)
  • Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics (experience)
  • Experience working with large scale and real world datasets (experience)
  • Metrics focused and passionate about delivering models that render high quality results (experience)
  • Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Python, Scala, Java, or C++ (experience)
  • Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies (experience)

Preferred Qualifications

  • Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields. (degree in phd degree in machine learning)
  • Hands on experience with multi-modal foundation models and understanding of state of the art approaches in the field (experience)
  • Experience shipping a complex AI system, including research and leveraging generative AI models (experience)
  • Excellent independent problem-solving skills (experience)
  • Excellent written and oral communication skills (experience)

Responsibilities

  • We are looking for a Machine Learning Scientist/Engineer to join our team and help shape the future of Apple Maps. In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. Your primary responsibility will be transforming high-level business objectives into measurable, technical requirements, including designing, implementing, and deploying cutting-edge models that solve real-world challenges. You’ll collaborate closely with cross-functional teams, including engineering and design, to architect scalable systems while continuously refining solutions through data-driven iteration.
  • The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

Target Your Resume for "Machine Learning Engineer - Gen AI" , Apple

Get personalized recommendations to optimize your resume specifically for Machine Learning Engineer - Gen AI. Takes only 15 seconds!

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

Check Your ATS Score for "Machine Learning Engineer - Gen AI" , 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 - Gen AI @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.