infrastructure finance, senior cloud analyst

infrastructure finance, senior cloud technical lead

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infrastructure finance, senior cloud analyst Jobs in Cupertino

infrastructure finance, senior cloud technical lead Jobs in Cupertino

senior infrastructure engineer

Apple

<div>Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple&rsquo;s software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day. 
 
We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working with closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training &amp; deployment infrastructure. 
 
Description 
 
In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure. 
 
Responsibilities Include: 
 
<ul><li>Training optimizations &amp; profiling targeting vision/language pre-training</li></ul> 
<ul><li>Researching training recipes for effective scheduling of multimodal training workloads</li></ul> 
<ul><li>Experimentation &amp; tooling for post-training ablations including reward modeling, distillation and prompt optimization</li></ul> 
<ul><li>Coordinating with post-training algorithm owners for analyzing quality / performance tradeoffs of downstream capabilities</li></ul> 
<ul><li>Ablations involving optimization aware fine-tuning</li></ul> 

Preferred Qualifications 
 
Strong ML Fundamentals 
 
Experience working with large cross-functional and diverse teams. 
 
Minimum Qualifications 
 
Bachelors, Masters, or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on machine learning; or comparable professional experience 
 
Experienced in training / adapting LLM and Diffusion models 
 
Advanced Fluency in PyTorch 
 
Excellent programming skills and experience contributing software to large projects 
 
Experience with distributed training of large models 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $181,100 and $318,400, 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.</div>

Senior ML Infrastructure Engineer - Training Algorithms, SIML

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate sophisticated challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. 
 
Description 
 
As a Senior Cloud Technical Lead in the Infrastructure Finance organization, you will shape the financial and business strategy of our internal cloud services and platforms. You&rsquo;ll develop and own economic models that quantify cost, efficiency, and return on investment, partnering closely with engineering to evaluate capacity, performance, and scaling trade-offs. This is a high-impact, cross-functional role at the intersection of finance, capacity, engineering, and strategy-ideal for a proven leader who combines deep curiosity with the ability to turn complex data into actionable insight and long-term value.&quot;,&quot;responsibilities&quot;:&quot;Develop and maintain cost and economic models across compute, storage, and network platforms. 
 
Design internal chargeback frameworks and strategic pricing structures. 
 
Lead strategic business reviews with senior leadership to align infrastructure strategy with financial outcomes. 
 
Deliver financial insights and recommendations that guide trade-offs between performance, resilience, and cost. 
 
Build frameworks for build-vs-buy evaluations and investment decision-making. 
 
Partner with engineering to identify and drive cost-efficiency and optimization opportunities. 
 
Conduct comparative analysis of private- vs. public-cloud infrastructure economics. 
 
Champion process improvements, tooling enhancements, and automation. 
 
Preferred Qualifications 
 
9+ years of experience with cloud services and infrastructure platforms, including deep exposure to public cloud (AWS, GCP) and private/on-prem environments. 
 
Expertise in financial cost modeling, TCO analysis, and capital investment evaluation. 
 
Deep understanding of the cloud and infrastructure stack-compute, storage, network systems, and hyperscale platform ecosystems. 
 
Proven ability to partner effectively with engineering and technical teams to align financial and operational goals. 
 
Advanced proficiency in SQL and Excel, with the ability to analyze and interpret large, complex financial, engineering, and operational datasets. 
 
Highly organized, action-oriented, and accountable, with a track record of integrity and follow-through. 
 
MBA, CFA, or advanced degree in Finance, Economics, Engineering, or a related quantitative field. 
 
Deep knowledge of datacenter architecture, including compute, storage, networking, and virtualization. 
 
Experience with FinOps (financial operations), particularly capacity modeling, forecasting, cost optimization and scenario planning for large-scale infrastructure. 
 
Demonstrated ability to influence technical and non-technical stakeholders, including engineering, finance, supply chain, and executive teams. 
 
Prior experience within a hyperscale cloud provider, data-center operator, or enterprise infrastructure planning team. 
 
Excellent collaboration, communication, and storytelling skills, capable of translating complex data into executive-ready insights. 
 
Minimum Qualifications 
 
7+ years of experience with cloud services and infrastructure platforms, including deep exposure to public cloud (AWS, GCP) and private/on-prem environments. 
 
5+ years of relevant experience within a Finance team, with exposure to forecasting, fiscal planning, cost allocations, and core accounting principles 
 
Bachelor&rsquo;s degree in Finance, Economics, Accounting, Engineering, or a related quantitative field. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $203,300 and $305,600, 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.

Infrastructure Finance, Senior Cloud Technical Lead

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate sophisticated challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. 
 
Description 
 
As a Sr. Cloud Analyst in the Infrastructure Finance organization, you will play a key supporting role in building the financial foundation for our internal cloud and infrastructure platforms. You&rsquo;ll develop detailed financial models for internal cloud platforms, and deliver accurate insights that guide investment decisions. This is an ideal opportunity for an analytical, detail-oriented professional with strong financial acumen who is eager to grow within a high-impact, cross-functional environment.&quot;,&quot;responsibilities&quot;:&quot;Develop, enhance, and maintain detailed financial models for infrastructure cost, efficiency, and return on investment. 
 
Build and manage datasets that integrate financial, engineering, and operational metrics 
 
Support the development of cost models, rate cards, and chargeback processes. 
 
Prepare financial analyses and performance reports that inform leadership decisions. 
 
Lead in scenario modeling, forecasting, and sensitivity analysis across compute, storage, and network platforms. 
 
Collaborate with corporate finance and engineering teams to ensure data accuracy, model consistency, and financial transparency. 
 
Proactively identify trends, variances, and opportunities for cost optimization. 
 
Continuously improve tools, templates, and processes to enhance the team&rsquo;s analytical capabilities. 
 
Preferred Qualifications 
 
5+ years of experience with cloud services and infrastructure platforms, including deep exposure to public cloud (AWS, GCP) and private/on-prem environments. 
 
Strong understanding of core finance principles-budgeting, forecasting, cost allocation, standard costing, and ROI analysis. 
 
Proficiency in Excel and SQL with the ability to organize, clean, and analyze large datasets. 
 
Strong attention to detail, analytical mindset, and commitment to data accuracy. 
 
Curiosity and motivation to learn cloud, infrastructure, and capacity economics. 
 
Collaborative and proactive, with excellent written and verbal communication skills. 
 
Knowledge of cloud infrastructure, data centers, networking, compute &amp; storage. 
 
Experience with data visualization tools (Tableau, or similar). 
 
Exposure to on-premises and 3P public clouds, and FinOps (financial operations). 
 
Experience supporting financial modeling or forecasting within technology, infrastructure, or operations teams. 
 
Enthusiastic learner with a growth mindset and a desire to build a career at the intersection of finance, data, and cloud strategy. 
 
Minimum Qualifications 
 
5+ years of relevant experience within a Finance team, with exposure to forecasting, fiscal planning, cost allocations, and core accounting principles 
 
2+ years of experience with cloud services and infrastructure platforms, including deep exposure to public cloud (AWS, GCP) and private/on-prem environments. 
 
Bachelor&rsquo;s degree in Finance, Economics, Accounting, Engineering, or a related quantitative field. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $172,100 and $258,600, 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.

Infrastructure Finance, Senior Cloud Analyst

Come join a creative engineering team devoted to making our products more durable through data-driven insights. We're looking for a senior AI/ML engineer to lead the development of intelligent applications and systems that unlock the power of our hardware test data and enable hardware engineers to create their own software tools. In this role, you'll architect and build scalable AI/ML-driven software to help take our department's capabilities to the next level. You'll work with hardware and software engineering teams throughout Apple to design robust AI/ML applications, implement production-grade AI pipelines, iterate based on evolving requirements, and provide input on technical strategy. The tools and platforms you build will power processes, analytics, and workflows that directly influence the design of future products. This is a hands-on work environment where engineers are expected to be self-motivated and proficient with a wide range of AI/ML technologies, while dedicating time to leading contractor teams, driving projects forward, presenting to executive leadership, and delivering excellent solutions for Apple. 
 
Description 
 
In this role you'll architect and implement AI/ML software applications and platforms for the Reliability department at Apple. You&rsquo;ll provide technical leadership and bridge the gap between business needs and production software, delivering tools that automate workflows and surface novel insights for the organization.&quot;,&quot;responsibilities&quot;:&quot;Architect and build robust, full-stack AI/ML applications using modern software engineering best practices, leveraging Python-based services (FastAPI), containerized deployments on Kubernetes, scalable data stores (Postgres/Timescale with vector search), and production-grade ML platforms for training, evaluation, and serving, while providing technical leadership across projects. 
 
Lead and mentor a team of external contractors, providing architectural guidance, code reviews, and daily direction to ensure fast, high-quality delivery. 
 
Drive the scope of engineering projects independently, identifying new opportunities, defining requirements, and managing the full project lifecycle from concept to deployment. 
 
Apply machine learning algorithms and statistical methods to solve complex business problems, focusing on rapid prototyping followed by high-quality production delivery. 
 
Design and implement MLOps workflows to ensure applications are scalable, monitoring their performance and reliability in production environments. 
 
Cultivate strong partnerships across engineering and business teams, acting as both a visionary and translator between software and non-software audiences. 
 
Act as the primary point of contact for stakeholders, tailoring communication to multidisciplinary audiences while delivering regular updates on project roadmaps. 
 
Present complex technical narratives and data-driven insights effectively to executive leadership through clear, high-impact presentations and visualizations. 
 
Preferred Qualifications 
 
M.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field. 
 
Passion for quality and attention to detail; proactive in researching and assessing emerging technologies (AI/ML models, protocols, and techniques), and integrating them into production 
 
Experience designing and operating MLOps workflows in cloud-native environments, including CI/CD for ML systems, model versioning and promotion, scalable batch and online inference, and monitoring of data quality, model performance, and system reliability in production 
 
Track record of successfully growing the scope of engineering projects from initial proof-of-concept to organization-wide adoption 
 
Experience with Python (FastAPI), PyTorch, Hugging Face, and Spark to deploy production-level platforms on Kubernetes with end-to-end observability, MLflow tracking, and vector-enabled data stores (e.g. Postgres/Timescale) 
 
Experience with computer vision technologies and techniques, especially for segmentation, anomaly detection, and objective grading is a plus 
 
Thrives in fast-paced, evolving environments-quickly pivots priorities while maintaining data integrity and reliability 
 
Minimum Qualifications 
 
B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field 
 
6+ years experience and strong foundation in Software Engineering fundamentals, including data structures, algorithms, object-oriented design, and proficiency in building production-quality applications in Python 
 
2+ years expertise in AI Engineering, using modern ML frameworks to design and deploy production-level platforms with end-to-end observability using vector-enabled data stores (e.g. Postgres/Timescale) 
 
Demonstrated leadership experience with the ability to lead contractors, mentor peers, and manage technical resources effectively 
 
Proven ability to drive projects independently: defining scope, collaborating with stakeholders, negotiating requirements, and driving projects to completion 
 
Solid understanding of Machine Learning algorithms, with the ability to select and implement the right model or approach for the problem at hand 
 
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences and influence decision-making 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $181,100 and $318,400, 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.

Senior AI/ML Engineer, Tools & Infrastructure

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $181,100 and $318,400, 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.

Senior Software Engineer - Data

At Apple, we believe that innovation flourishes in an environment where ideas are challenged, collaboration is encouraged and technology is pushed to its limits. This environment is only possible when diverse minds come together, bringing unique perspectives and experiences. Our people and their ideas inspire innovation in everything we do. Imagine what you could accomplish here! Join Apple and help us make the world a better place. 
 
As a principal contributor in our Apple Data Platform SRE organization you will apply SRE principles as you mentor and partner with our engineers and partner teams, ensuring petabyte-scale analytics infrastructure runs reliably and efficiently. This role focuses on managing bare-metal and cloud based infrastructure, levering and extending our infrastructure-as-code based tooling, analyzing and optimizing performance, helping to plan and execute long term fleet management logistics, capacity planning, and ultimately maintaining operational excellence across distributed data platforms that power analytics across Apple. This role includes production on-call responsibilities. 
 
Description 
 
Apple Service Engineering (ASE) teams build and scale the platforms and infrastructure behind many of Apple's services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple's software developers build the products that our customers love. We are looking for a passionate and dedicated Senior Site Reliability Engineer to provide technical leadership on our team to help ensure our customers have the highest quality Apple Services experience. The Apple Data Platform (ADP) Compute SRE team is responsible for the core infrastructure, including our legacy bare-metal platforms and modern cloud based infrastructure stack. We partner with both peer SRE teams and several of our world-class software and product engineering teams to support infrastructure reliability, multi-year parallel migrations for Apple properties, as well as the automation, tooling, incident, and process management necessary to ensure smooth 24x7 operations for ADP customers.&quot;,&quot;responsibilities&quot;:&quot;Principal/Lead SRE for ADP Compute SRE team, mentoring other ICs, and partnering with other senior engineers to ensure service architecture, tooling, design, and implementations are of the highest quality. 
 
Identifying efficiency improvements in technical operations and training partner teams, leading by example. 
 
Managing infrastructure fleet capacity, growth, and hardware lifecycle with innovative tooling, effective planning, and proactive check-ins with our leadership and program management teams. 
 
Providing technical leadership for Hadoop and Kubernetes infrastructure, tooling (including infrastructure-as-code), and services. 
 
Programming in Python and Golang supported by Generative AI tooling to accelerate development of mission critical automation and tools. 
 
Proactive collaboration and presentation skills to effectively communicate ideas and represent the deliverables and needs of the SRE team with ASE leadership. 
 
Production on-call and incident management responsibilities. 
 
Preferred Qualifications 
 
15+ YoE in SRE or related work managing infrastructure at scale 
 
Experience with scale testing, disaster recovery, and capacity planning 
 
Ability to define the technical roadmap for infrastructure and drive cross-functional alignment on architectural standards and best practices 
 
Minimum Qualifications 
 
BS/MS in Computer Science or Equivalent 
 
12+ years of experience in Site Reliability Engineering, managing infrastructure and services at scale 
 
5+ years of experience in management or technical leadership roles 
 
History of end-to-end project management and delivery 
 
Demonstrable programming skills to both develop software/tools and lead code reviews 
 
Experience managing Hadoop and Kubernetes infrastructure and related services, or equivalent experience 
 
Advanced knowledge of Linux, Networking, and Containers 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $181,100 and $318,400, 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.

Senior Site Reliability Engineer, Apple Data Platform Infra SRE

At Apple, we work every day to create products that enrich people&rsquo;s lives. Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. 
 
The Machine Learning Platform team&rsquo;s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications. 
 
Description 
 
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ad Platforms teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data. 
 
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other&rsquo;s growth and supporting each other in delivering for our customers! 
 
Preferred Qualifications 
 
PhD, MS, or BS in computer science or a related field, with 8+ years of experience in machine learning and strong software engineering skills. 
 
Minimum Qualifications 
 
Proven track record of designing and operating large-scale, low-latency ML Serving platform supporting real-time and batch inference. 
 
Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies. 
 
Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns. 
 
Prior experience in advertising industry, federated learning and privacy-preserving ML techniques. 
 
Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing. 
 
Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices. 
 
Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management. 
 
Experience performance tuning &amp; trouble-shooting. 
 
Pride in building tools to automate routine tasks, organized &amp; detailed. 
 
Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden. 
 
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. 
 
Results oriented with a desire to work in a fast-paced and collaborative work environment. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 . 
 
Pay &amp; Benefits 
 
At 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 $181,100 and $318,400, 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.

Senior Machine Learning Engineer - Ads ML Infrastructure

Explore 94+ Senior infrastructure engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.