AIML - Senior Software Engineer, Machine Learning Platform and Infrastructure at Apple
San Francisco, CA
About the Job
SummaryPosted: Weekly Hours: 40 Role Number:200572894Are you a passionate software engineer eager to design and build cloud-native infrastructure platforms at Apple scale for Siri, Search, and AI/ML products? We're seeking a talented software engineering leader with deep expertise in infrastructure and distributed systems to architect and develop scalable, cloud-native platforms that leverage cutting-edge technologies, machine learning, and open source to power seamless and intelligent experiences for billions of Apple users
If you're excited about driving innovation and building resilient systems that support Apple's global AI/ML initiatives, we'd love for you to join our team!
DescriptionThe MLPT Cloud Infrastructure Team at AI/ML is responsible for designing, building, and scaling the foundational platforms and services that power Siri, Search, and other cutting-edge products
Whether it's streamlining service delivery through CI/CD pipelines, automating infrastructure management or optimizing performance across multi-cloud environments, we are committed to building the next-generation platform for Apple's most innovative products.
In this role you will be tasked with the following:
-Architect and develop scalable cloud-native platforms to support the deployment and operation of Apple's AI/ML services and applications.
-Lead the design and implementation of distributed systems that are resilient, secure, and optimized for high performance.
-Collaborate with AI/ML teams and other infrastructure engineers to ensure seamless integration of platform solutions into machine learning workflows.
-Drive the adoption of cloud-native technologies across the organization, influencing architectural decisions and best practices.
-Troubleshoot complex infrastructure issues, ensuring optimal performance and reliability across multi-cloud environments.
-Mentor junior engineers and contribute to the team's overall growth and technical excellence.
Minimum QualificationsBA/BS Degree in Computer Science or related technical discipline, or related practical experience.5+ years programming experience in languages such as Golang, Python, Java, Rust, C/C++ etc.Proven track record of building large scale, cloud based complex distributed systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisionsExperience building and operating infrastructure and tools that empower developers/product teams to deliver business valueExperience leading and creating strong technical teams that balance operational excellence, collaboration and user needsExperience with operational excellence and a deep understanding of metrics, alarms and dashboardsExperience handling critical incidents for production systemsPreferred Qualifications9+ years of experience in cloud infrastructure and distributed systems engineeringStrong Proficiency in Go, Python or Rust with experience in building automation tools and distributed systemsExtensive experience in architecting, building and running distributed large-scale Kubernetes based systems in productionProficiency in Kubernetes controller development and automating cluster managementStrong knowledge of CI/CD pipelines and DevOps practicesExperience managing cloud environments (AWS, GCP) infrastructure as code (IaC)Familiarity with monitoring and observability tools to ensure high availability and performanceStrong problem-solving skills, capable of debugging issues that span heterogenous compute environmentsExcellent communication and collaboration skills, with a proven ability to work across engineering teams and influence architectural decisionsB.S., M.S., or Ph.D
in Computer Science, Computer Engineering, or equivalent practical experience.Pay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range
This provides the opportunity to progress as you grow and develop within a role
The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation
Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity
We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics
Learn more about your EEO rights as an applicant.
If you're excited about driving innovation and building resilient systems that support Apple's global AI/ML initiatives, we'd love for you to join our team!
DescriptionThe MLPT Cloud Infrastructure Team at AI/ML is responsible for designing, building, and scaling the foundational platforms and services that power Siri, Search, and other cutting-edge products
Whether it's streamlining service delivery through CI/CD pipelines, automating infrastructure management or optimizing performance across multi-cloud environments, we are committed to building the next-generation platform for Apple's most innovative products.
In this role you will be tasked with the following:
-Architect and develop scalable cloud-native platforms to support the deployment and operation of Apple's AI/ML services and applications.
-Lead the design and implementation of distributed systems that are resilient, secure, and optimized for high performance.
-Collaborate with AI/ML teams and other infrastructure engineers to ensure seamless integration of platform solutions into machine learning workflows.
-Drive the adoption of cloud-native technologies across the organization, influencing architectural decisions and best practices.
-Troubleshoot complex infrastructure issues, ensuring optimal performance and reliability across multi-cloud environments.
-Mentor junior engineers and contribute to the team's overall growth and technical excellence.
Minimum QualificationsBA/BS Degree in Computer Science or related technical discipline, or related practical experience.5+ years programming experience in languages such as Golang, Python, Java, Rust, C/C++ etc.Proven track record of building large scale, cloud based complex distributed systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisionsExperience building and operating infrastructure and tools that empower developers/product teams to deliver business valueExperience leading and creating strong technical teams that balance operational excellence, collaboration and user needsExperience with operational excellence and a deep understanding of metrics, alarms and dashboardsExperience handling critical incidents for production systemsPreferred Qualifications9+ years of experience in cloud infrastructure and distributed systems engineeringStrong Proficiency in Go, Python or Rust with experience in building automation tools and distributed systemsExtensive experience in architecting, building and running distributed large-scale Kubernetes based systems in productionProficiency in Kubernetes controller development and automating cluster managementStrong knowledge of CI/CD pipelines and DevOps practicesExperience managing cloud environments (AWS, GCP) infrastructure as code (IaC)Familiarity with monitoring and observability tools to ensure high availability and performanceStrong problem-solving skills, capable of debugging issues that span heterogenous compute environmentsExcellent communication and collaboration skills, with a proven ability to work across engineering teams and influence architectural decisionsB.S., M.S., or Ph.D
in Computer Science, Computer Engineering, or equivalent practical experience.Pay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range
This provides the opportunity to progress as you grow and develop within a role
The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation
Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity
We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics
Learn more about your EEO rights as an applicant.
