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AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies

Apple

Software and Technology Jobs

AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies

full-timePosted: Sep 17, 2025

Job Description

Shape the future of search at Apple. The Search Information Intelligence organization is at the forefront of innovation in algorithmic search, machine learning, natural language processing, and artificial intelligence—transforming how hundreds of millions of users discover and interact with information. Our mission: to architect the intelligent search platforms of tomorrow, at Apple-scale. As a Developer Experience Engineering Leader, you will: Drive technical vision and strategy for building, evolving, and scaling distributed infrastructure and platforms that accelerate Apple’s search capabilities—empowering developer teams company-wide to iterate, validate, and deliver best-in-class features, safely and at scale. Architect robust systems for large-scale experimentation, automated testing, and continuous integration of Search infrastructure, ensuring high reliability, efficiency, and security across products and platforms. Lead cross-functional collaboration with engineering, AI/ML, product, and executive teams to align platform architecture with Apple’s long-term product roadmap and developer experience goals. Mentor and inspire technical excellence across the organization, shaping culture, fostering talent development, and establishing best practices for scalable infrastructure and developer productivity. Deliver impactful results by designing solutions that push the boundaries of performance, efficiency, and quality—ultimately redefining the search experience on a global scale. This is a rare opportunity for an engineering leader to shape technical strategy and leave a profound impact on Apple’s most visible consumer experiences. If you are passionate about building the intelligent systems that power the way the world searches and learns, and have the vision to scale ideas from inception to Apple-scale deployment, we want to hear from you. You will have the opportunity to make a significant, organization-wide impact by: Tackling and resolving complex technical challenges that shape the future of developer experience at Apple. Setting strategic direction for the developer experience organization—shaping architectural decisions and long-term vision across products and teams. Streamlining both inner and outer development loops, enhancing reliability, driving automation, and drastically reducing toil for engineering teams. Pioneering and implementing advanced validation and testing methodologies to elevate product quality and engineering velocity. Rolling up your sleeves to tackle the bugs and technical debt that others shy away from—making a real difference where it matters most.

Locations

  • San Francisco Bay Area, California, United States
  • Seattle, Washington, United States 98117

Salary

Estimated Salary Rangemedium confidence

50,000,000 - 120,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • algorithmic searchintermediate
  • machine learningintermediate
  • natural language processingintermediate
  • artificial intelligenceintermediate
  • building distributed infrastructureintermediate
  • scaling platformsintermediate
  • architecting robust systemsintermediate
  • large-scale experimentationintermediate
  • automated testingintermediate
  • continuous integrationintermediate
  • high reliability engineeringintermediate
  • efficiency optimizationintermediate
  • security implementationintermediate
  • cross-functional collaborationintermediate
  • mentoringintermediate
  • inspiring technical excellenceintermediate
  • shaping cultureintermediate
  • fostering talent developmentintermediate
  • establishing best practicesintermediate
  • scalable infrastructureintermediate
  • developer productivityintermediate
  • performance optimizationintermediate
  • strategic planningintermediate
  • technical visionintermediate
  • architectural decision-makingintermediate
  • streamlining development loopsintermediate
  • driving automationintermediate
  • reducing toilintermediate
  • advanced validation methodologiesintermediate
  • testing methodologiesintermediate
  • tackling complex technical challengesintermediate
  • resolving bugsintermediate
  • technical debt managementintermediate

Required Qualifications

  • Strong coding skills (experience)
  • Strong background in computer science: algorithms and data structures (experience)
  • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes (experience)
  • Excellent interpersonal skills able to work independently as well as in a team (experience)
  • Bachelor degree or above in Computer Science or related field (degree in degree or above in computer science or related field)

Preferred Qualifications

  • Demonstrated leadership in optimizing end-to-end developer workflows across both the inner loop (local development) and outer loop (integration, testing, and deployment). (experience)
  • Extensive experience designing, implementing, and scaling CI/CD pipelines, automating pre-submit checks, and building high-performance, production-accurate testing infrastructure. (experience)
  • Proven success in streamlining release processes, automating manual deployments, and driving improvements in environment stability, reliability, and consistency. (experience)
  • Adept at developing tools and frameworks that enhance debugging efficiency, reduce friction for developers, and accelerate product delivery. (experience)
  • Deep expertise in root cause analysis of systemic engineering issues, including build failures, flaky tests, and failed deployments, with a track record of implementing long-term, scalable solutions that improve developer velocity and engineering quality. (experience)

Responsibilities

  • You will have the opportunity to make a significant, organization-wide impact by:
  • Tackling and resolving complex technical challenges that shape the future of developer experience at Apple.
  • Setting strategic direction for the developer experience organization—shaping architectural decisions and long-term vision across products and teams.
  • Streamlining both inner and outer development loops, enhancing reliability, driving automation, and drastically reducing toil for engineering teams.
  • Pioneering and implementing advanced validation and testing methodologies to elevate product quality and engineering velocity.
  • Rolling up your sleeves to tackle the bugs and technical debt that others shy away from—making a real difference where it matters most.
  • Define and drive the technical vision for scalable, resilient developer experience platforms supporting Apple's search products.
  • Architect, implement, and maintain distributed infrastructure and automation to accelerate developer velocity across the organization.
  • Lead cross-team collaboration with engineering, AI/ML, product, and leadership groups to align platform and business objectives.
  • Champion engineering excellence by instituting best practices for reliability, testability, and maintainability in large codebases.
  • Identify and resolve complex technical challenges and bottlenecks in developer workflows and search infrastructure.
  • Streamline and automate inner/outer development loops to reduce toil and improve productivity for engineering teams.
  • Pioneer, adopt, and promote advanced validation and testing methodologies to raise product quality and development velocity.
  • Tackle high-impact bugs and technical debt, proactively addressing issues that hinder developer experience or platform reliability.

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Apple logo

AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies

Apple

Software and Technology Jobs

AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies

full-timePosted: Sep 17, 2025

Job Description

Shape the future of search at Apple. The Search Information Intelligence organization is at the forefront of innovation in algorithmic search, machine learning, natural language processing, and artificial intelligence—transforming how hundreds of millions of users discover and interact with information. Our mission: to architect the intelligent search platforms of tomorrow, at Apple-scale. As a Developer Experience Engineering Leader, you will: Drive technical vision and strategy for building, evolving, and scaling distributed infrastructure and platforms that accelerate Apple’s search capabilities—empowering developer teams company-wide to iterate, validate, and deliver best-in-class features, safely and at scale. Architect robust systems for large-scale experimentation, automated testing, and continuous integration of Search infrastructure, ensuring high reliability, efficiency, and security across products and platforms. Lead cross-functional collaboration with engineering, AI/ML, product, and executive teams to align platform architecture with Apple’s long-term product roadmap and developer experience goals. Mentor and inspire technical excellence across the organization, shaping culture, fostering talent development, and establishing best practices for scalable infrastructure and developer productivity. Deliver impactful results by designing solutions that push the boundaries of performance, efficiency, and quality—ultimately redefining the search experience on a global scale. This is a rare opportunity for an engineering leader to shape technical strategy and leave a profound impact on Apple’s most visible consumer experiences. If you are passionate about building the intelligent systems that power the way the world searches and learns, and have the vision to scale ideas from inception to Apple-scale deployment, we want to hear from you. You will have the opportunity to make a significant, organization-wide impact by: Tackling and resolving complex technical challenges that shape the future of developer experience at Apple. Setting strategic direction for the developer experience organization—shaping architectural decisions and long-term vision across products and teams. Streamlining both inner and outer development loops, enhancing reliability, driving automation, and drastically reducing toil for engineering teams. Pioneering and implementing advanced validation and testing methodologies to elevate product quality and engineering velocity. Rolling up your sleeves to tackle the bugs and technical debt that others shy away from—making a real difference where it matters most.

Locations

  • San Francisco Bay Area, California, United States
  • Seattle, Washington, United States 98117

Salary

Estimated Salary Rangemedium confidence

50,000,000 - 120,000,000 INR / yearly

Source: ai estimated

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

Skills Required

  • algorithmic searchintermediate
  • machine learningintermediate
  • natural language processingintermediate
  • artificial intelligenceintermediate
  • building distributed infrastructureintermediate
  • scaling platformsintermediate
  • architecting robust systemsintermediate
  • large-scale experimentationintermediate
  • automated testingintermediate
  • continuous integrationintermediate
  • high reliability engineeringintermediate
  • efficiency optimizationintermediate
  • security implementationintermediate
  • cross-functional collaborationintermediate
  • mentoringintermediate
  • inspiring technical excellenceintermediate
  • shaping cultureintermediate
  • fostering talent developmentintermediate
  • establishing best practicesintermediate
  • scalable infrastructureintermediate
  • developer productivityintermediate
  • performance optimizationintermediate
  • strategic planningintermediate
  • technical visionintermediate
  • architectural decision-makingintermediate
  • streamlining development loopsintermediate
  • driving automationintermediate
  • reducing toilintermediate
  • advanced validation methodologiesintermediate
  • testing methodologiesintermediate
  • tackling complex technical challengesintermediate
  • resolving bugsintermediate
  • technical debt managementintermediate

Required Qualifications

  • Strong coding skills (experience)
  • Strong background in computer science: algorithms and data structures (experience)
  • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes (experience)
  • Excellent interpersonal skills able to work independently as well as in a team (experience)
  • Bachelor degree or above in Computer Science or related field (degree in degree or above in computer science or related field)

Preferred Qualifications

  • Demonstrated leadership in optimizing end-to-end developer workflows across both the inner loop (local development) and outer loop (integration, testing, and deployment). (experience)
  • Extensive experience designing, implementing, and scaling CI/CD pipelines, automating pre-submit checks, and building high-performance, production-accurate testing infrastructure. (experience)
  • Proven success in streamlining release processes, automating manual deployments, and driving improvements in environment stability, reliability, and consistency. (experience)
  • Adept at developing tools and frameworks that enhance debugging efficiency, reduce friction for developers, and accelerate product delivery. (experience)
  • Deep expertise in root cause analysis of systemic engineering issues, including build failures, flaky tests, and failed deployments, with a track record of implementing long-term, scalable solutions that improve developer velocity and engineering quality. (experience)

Responsibilities

  • You will have the opportunity to make a significant, organization-wide impact by:
  • Tackling and resolving complex technical challenges that shape the future of developer experience at Apple.
  • Setting strategic direction for the developer experience organization—shaping architectural decisions and long-term vision across products and teams.
  • Streamlining both inner and outer development loops, enhancing reliability, driving automation, and drastically reducing toil for engineering teams.
  • Pioneering and implementing advanced validation and testing methodologies to elevate product quality and engineering velocity.
  • Rolling up your sleeves to tackle the bugs and technical debt that others shy away from—making a real difference where it matters most.
  • Define and drive the technical vision for scalable, resilient developer experience platforms supporting Apple's search products.
  • Architect, implement, and maintain distributed infrastructure and automation to accelerate developer velocity across the organization.
  • Lead cross-team collaboration with engineering, AI/ML, product, and leadership groups to align platform and business objectives.
  • Champion engineering excellence by instituting best practices for reliability, testability, and maintainability in large codebases.
  • Identify and resolve complex technical challenges and bottlenecks in developer workflows and search infrastructure.
  • Streamline and automate inner/outer development loops to reduce toil and improve productivity for engineering teams.
  • Pioneer, adopt, and promote advanced validation and testing methodologies to raise product quality and development velocity.
  • Tackle high-impact bugs and technical debt, proactively addressing issues that hinder developer experience or platform reliability.

Target Your Resume for "AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies" , Apple

Get personalized recommendations to optimize your resume specifically for AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies. Takes only 15 seconds!

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

Check Your ATS Score for "AIML - Senior/Staff Software Engineer, Machine Learning Platform Technologies" , 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 - Senior/Staff Software Engineer, Machine Learning Platform Technologies @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.