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AIML - Distinguished Engineer, Foundation Models

Apple

Software and Technology Jobs

AIML - Distinguished Engineer, Foundation Models

full-timePosted: Oct 20, 2025

Job Description

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models. We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. As a distinguished engineer, you will identify new directions in research or products and land big impacts along these directions and influence the direction of Apple’s AI efforts.

Locations

  • Cupertino, California, United States 95014
  • New York City, New York, United States 10022
  • Seattle, Washington, United States 98117

Salary

Estimated Salary Rangemedium confidence

12,000,000 - 30,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • developing algorithmsintermediate
  • developing techniquesintermediate
  • developing systemsintermediate
  • deep learningintermediate
  • natural language processingintermediate
  • multi-modal understandingintermediate
  • combining learning with knowledgeintermediate

Required Qualifications

  • Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products (experience)
  • Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow (experience)
  • Ability to work in a collaborative environment (experience)
  • PhD, or equivalent practical experience, in Computer Science, or related technical field (experience)

Preferred Qualifications

  • Web-scale information retrieval (experience)
  • Human-like conversation agent (experience)
  • Multi-modal perception for existing products and future hardware platforms (experience)
  • On-device intelligence and learning with strong privacy protections (experience)

Responsibilities

  • We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
  • As a distinguished engineer, you will identify new directions in research or products and land big impacts along these directions and influence the direction of Apple’s AI efforts.

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Apple logo

AIML - Distinguished Engineer, Foundation Models

Apple

Software and Technology Jobs

AIML - Distinguished Engineer, Foundation Models

full-timePosted: Oct 20, 2025

Job Description

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models. We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. As a distinguished engineer, you will identify new directions in research or products and land big impacts along these directions and influence the direction of Apple’s AI efforts.

Locations

  • Cupertino, California, United States 95014
  • New York City, New York, United States 10022
  • Seattle, Washington, United States 98117

Salary

Estimated Salary Rangemedium confidence

12,000,000 - 30,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • developing algorithmsintermediate
  • developing techniquesintermediate
  • developing systemsintermediate
  • deep learningintermediate
  • natural language processingintermediate
  • multi-modal understandingintermediate
  • combining learning with knowledgeintermediate

Required Qualifications

  • Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products (experience)
  • Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow (experience)
  • Ability to work in a collaborative environment (experience)
  • PhD, or equivalent practical experience, in Computer Science, or related technical field (experience)

Preferred Qualifications

  • Web-scale information retrieval (experience)
  • Human-like conversation agent (experience)
  • Multi-modal perception for existing products and future hardware platforms (experience)
  • On-device intelligence and learning with strong privacy protections (experience)

Responsibilities

  • We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
  • As a distinguished engineer, you will identify new directions in research or products and land big impacts along these directions and influence the direction of Apple’s AI efforts.

Target Your Resume for "AIML - Distinguished Engineer, Foundation Models" , Apple

Get personalized recommendations to optimize your resume specifically for AIML - Distinguished Engineer, Foundation Models. Takes only 15 seconds!

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

Check Your ATS Score for "AIML - Distinguished Engineer, Foundation Models" , 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 AIML - Distinguished Engineer, Foundation Models @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.