aiml - machine learning engineer, data and ml innovation

aiml - sr machine learning engineer - data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

aiml - sr machine learning engineer, modeling evaluation & data

administrative assistant, hardware technology

ai software and security engineer Jobs in Cupertino

ai software and security engineer

aiml - machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - sr machine learning engineer - data and ml innovation Jobs in Cupertino

aiml - sr machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - sr machine learning engineer, modeling evaluation & data Jobs in Cupertino

senior site reliability engineer sre data apple ads

Apple

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
Description 
 
As a Data Site Reliability Engineer in Apple Ads, you will focus on designing, building, and managing cloud-based systems and infrastructure that stores, process, transforms and analyzes large datasets. You will ensure data and corresponding infrastructure is accessible, reliable, and secure within the cloud environment, working with various Apple Internal and 3rd party cloud providers like AWS.&quot;,&quot;responsibilities&quot;:&quot;Your high-level responsibilities will include: 
 
Design, build and manage large scale distributed data systems on AWS using services such as EMR, EKS, MSK. 
 
Design and develop internal tooling and automation frameworks to improve data infrastructure reliability, cost-efficiency, and operational visibility. 
 
Collaborate with cross-functional engineering teams like advertising, machine learning and data platforms to define infrastructure architecture, troubleshoot complex issues, and drive production excellence. 
 
Lead initiatives to eliminate toil via automation, improve efficiency and scalable deployment patterns. 
 
Contribute to strategic decision making related to adoption of a multi-cloud echo system to maintain operational excellence on the current stack while still enabling the path for future innovation. 
 
Preferred Qualifications 
 
Proven experience as a committer to open-source projects like Apache Spark, Flink, etc 
 
Track record of driving automation, cost optimization and performance tuning at scale for data systems. 
 
Experience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency is a plus. 
 
Experience driving adoption of new technologies and influencing designing of systems. 
 
Strong programming skills on object-oriented, functional or procedural programming languages, preferably Java / Scala / Kotlin / Python 
 
Experience designing and managing Infrastructure as Code with Helm and CRD, ensuring repeatable, secure, and scalable deployments. 
 
Minimum Qualifications 
 
5+ years of experience in Site Reliability Engineering with a strong focus on building, scaling and operating cloud based distributed data systems. 
 
Proven expertise running cloud infrastructure built on managed services offered by cloud providers like AWS 
 
Strong technical grasp and experience working on Open Source technologies designed for large scale data processing, like Apache Spark, Flink, Kafka, Iceberg, etc. 
 
Big Data processing and storage systems (streaming and batch) 
 
Strong expertise and experience with container orchestration systems like Kubernetes 
 
Experience designing, analyzing and troubleshooting large-scale distributed systems. 
 
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 $147,400 and $272,100, 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 (SRE), Data - Apple Ads

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

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. 
 
We are looking for an analytical, highly motivated, and execution-oriented individual to support the growing Apple Ads team. This role requires someone who combines strong program management skills, analytical rigor, and operational finance discipline to help uphold Apple&rsquo;s legacy of efficiency and success. 
 
Description 
 
As part of the Apple Ads Finance team, you will partner closely with Sales, Product, Data Insights, Business Operations, and Corporate Finance, often acting as the connective tissue across teams. You will support revenue planning and analysis across News &amp; Stocks Ads, with the opportunity to contribute to Video Ads and other media advertising initiatives based on business needs and priorities. You will have regular interaction with senior leadership and play a meaningful role in shaping the growth of Apple&rsquo;s advertising products. 
 
The ideal candidate is a self-starter who thrives in ambiguity, has experience leveraging systems and tools to drive automation and process improvements, brings a positive and collaborative mindset, and is equally comfortable building models and telling a data-driven story.&quot;,&quot;responsibilities&quot;:&quot;Support global revenue forecasting and planning for News &amp; Stocks Ads, with exposure to Video Ads and other Apple Media advertising initiatives as business needs evolve 
 
Build and maintain financial models and analyses that inform decision-making across planning, pacing, and strategic initiatives 
 
Act as a program manager for finance, coordinating inputs and alignment across Sales, Product, Data, and Accounting partners to keep initiatives moving forward 
 
Proactively surface trends, insights, and performance updates through clear, concise materials for stakeholders and senior leadership 
 
Translate complex analyses into compelling narratives that drive discussion, decisions, and action 
 
Design and present succinct, informative, and engaging presentations tailored to an executive audience 
 
Own aspects of the quarter-end close process, including preparation of journal entries and ensuring financial results are accurate and compliant with accounting policy 
 
Develop a deep understanding of Apple Media advertising products and serve as a finance point of contact for key growth areas 
 
Build strong, trusted partnerships across Product, Sales, Marketing, Business Operations, Data Insights, and Finance 
 
Preferred Qualifications 
 
5+ years of experience, preferably in FP&amp;A or Ad Sales Finance 
 
Demonstrated ability to own and drive complex, cross-functional initiatives, bringing structure, clarity, and momentum to ambiguous problems 
 
Experience building or improving reporting infrastructure, dashboards, or automated workflows (e.g., Python, Tableau, SQL, or similar) 
 
Strong foundation in financial modeling, forecasting, and business analysis, paired with working knowledge of accounting principles 
 
Highly analytical, with the ability to translate large and imperfect datasets into clear insights and actionable recommendations 
 
Proven track record of taking initiative, following through, and delivering results with a positive, collaborative approach 
 
Comfortable building relationships and influencing partners across multiple functions and levels of seniority 
 
Excellent written and verbal communication skills, including the ability to craft and present materials to senior leadership 
 
Intellectual curiosity and a continuous improvement mindset - always looking for a better, faster, or smarter way to get to the answer 
 
Detail-oriented while maintaining the ability to step back and focus on the big picture trends and key business levers 
 
Ability to work independently and manage multiple priorities in a fast-paced, evolving environment 
 
Minimum Qualifications 
 
2+ years of experience, preferably in FP&amp;A or Ad Sales Finance 
 
Bachelor&rsquo;s Degree in Finance, Accounting, Business Administration or relevant 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 $110,500 and $166,100, 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.

Analyst, FP&A - Apple News & Stocks Ads

The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple&rsquo;s unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads. 
 
You will contribute to the distributed runtime, orchestration layer, and system APIs that power Apple&rsquo;s intelligent features across products and services. This role is ideal for a software engineer who enjoys low-level systems work but is also fluent in ML workflows and models at scale. 
 
Description 
 
Apple Ray integrates deeply with Apple&rsquo;s data and ML ecosystem to provide a unified platform for building, orchestrating, and scaling complex ML and data pipelines. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure. 
 
You will build features that enhance developer productivity for ML engineers, improve resource efficiency, and advance the performance and reliability of Apple&rsquo;s ML workloads. You&rsquo;ll collaborate closely with ML practitioners to translate model and pipeline needs into robust platform capabilities, while also improving the underlying distributed runtime and control plane. 
 
This role requires strong engineering fundamentals, hands-on experience with ML systems, and a passion for building scalable infrastructure.&quot;,&quot;responsibilities&quot;:&quot;Build scalable distributed systems and platform components using Ray that power Apple&rsquo;s data+ML workflows. 
 
Develop APIs, libraries, and services that improve the efficiency and usability of large-scale ML training and inference pipelines. 
 
Optimize performance and resource utilization across GPU/CPU clusters for ML workloads running at Apple scale. 
 
Collaborate with ML teams to understand model and pipeline needs and translate them into robust platform features. 
 
Design fault-tolerant orchestration mechanisms, autoscaling strategies, and runtime improvements for distributed ML jobs. 
 
Diagnose complex issues across distributed systems and ML pipelines to ensure reliability and availability. 
 
Improve observability, monitoring, and debugging capabilities targeted at ML-centric distributed workloads. 
 
Contribute to architectural decisions and, where appropriate, upstream enhancements to Ray and related tools. 
 
Preferred Qualifications 
 
Experience with distributed training frameworks (DeepSpeed, Horovod, FSDP, ZeRO). 
 
Background in optimizing GPU workloads or performance benchmarking. 
 
Experience with model orchestration systems or ML platforms. 
 
Contributions to open-source ML or distributed systems projects. 
 
Familiarity with large-scale data systems such as Spark, Flink, or similar. 
 
Minimum Qualifications 
 
6+ years building distributed systems, high-scale backend services, or compute runtimes. 
 
Solid background in ML workflows, model training, model serving, or data pipeline development. 
 
Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java). 
 
Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with GPU-based training. 
 
Understanding of parallelism strategies, model scaling, or distributed training concepts. 
 
Experience with cluster orchestration (Kubernetes, EKS, GKE) or large-scale compute systems. 
 
Strong debugging skills across distributed and ML-centric runtime environments. 
 
Ability to work cross-functionally with ML engineers, data engineers, and infrastructure teams. 
 
B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or related technical fields - or comparable software engineering 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 $147,400 and $272,100, 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 ML Engineer, Apple Ray, Apple Data Platform

Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there&rsquo;s no telling what we could accomplish! 
 
The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple&rsquo;s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. 
 
Description 
 
The App Store team powers the data backbone behind discovery, search, trust and safety, developer insights, and experimentation across billions of daily user interactions. We ingest, model, and activate high-volume event data in near real time with uncompromising standards for privacy, reliability, and latency. As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications that make App Store signals useful, safe, and actionable for teams across the Apple. &quot;,&quot;responsibilities&quot;:&quot;Architect and operate petabyte-scale App Store pipelines with strict SLAs. 
 
Define event taxonomies, schemas, and governance to ensure durable contracts, lineage, and high-quality metadata. 
 
Ship privacy-by-design processing: PII minimization, consent enforcement, differential privacy, and edge-friendly patterns. 
 
Build production GenAI services with App Store context: embeddings, vector search, RAG, prompt orchestration, guardrails, and automated evals. 
 
Lead incident response and root-cause analysis; automate backfills, reprocessing, and lineage-aware rollbacks. 
 
Mentor engineers, influence architectural roadmaps, and improve on code quality, testing, performance, reliability, and documentation. 
 
Preferred Qualifications 
 
Familiarity shipping GenAI apps to production: embeddings, vector DBs, RAG, prompt orchestration. 
 
Excellent communication and collaboration skills; ability to influence multi-functional partners and drive complex projects to completion. 
 
Minimum Qualifications 
 
8+ years of hands-on software engineering experience building large-scale data systems. 
 
Strong programming skills in one or more of Scala and Java. 
 
Hands-on expertise with distributed data systems such as Spark, Kafka, Hadoop, Flink. 
 
Solid foundation in data storage and SQL : (S3/HDFS/Parquet), and lakehouse tables (Iceberg/Delta/Hudi). 
 
Solid systems fundamentals: algorithms, data structures, concurrency, consistency, caching, and observability. 
 
Built and operated services with Docker/Kubernetes, automated CI/CD and low-latency inference systems. 
 
BS/MS/PhD in Computer Science or related field, or equivalent 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, App Store Data

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

Apple is a place where extraordinary people gravitate in order to do their best work. We work every day to create products that enrich people&rsquo;s lives. Our Apple Ads 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. If you&rsquo;re excited by the idea of making a real impact, and joining a team where we pride ourselves on being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! 
 
Description 
 
In this role, you&rsquo;ll help drive and execute space planning strategies that support Apple Ads spaces globally. The work combines strategic thinking, operational rigor, and design sensibility. 
 
You&rsquo;ll play a crucial role in projects within the spatial planning and seating strategy initiatives across our global footprint. This includes managing construction-related projects, coordinating with cross functional partners, and ensuring design plans are implemented accurately and meet the needs or our teams. You&rsquo;ll also lead the development of programming and blocking plans for new spaces and work with senior leaders to create seating plans that reflect organizational requirements, team workflows, and business priorities. 
 
&quot;,&quot;responsibilities&quot;:&quot;Developing headcount and occupancy forecasts adjusting plans as business needs and constraints evolve 
 
Coordinating and managing the logistics of seating moves, relocations, office updates, and location specific needs in partnership with cross functional partners 
 
Maintaining accurate up to date documentation of all floor plans, seating plans, and planning decisions across the portfolio 
 
Partnering with teams to assess evolving space needs and align them with long-term workplace strategy, balancing business requirements with team dynamics with discretion and diplomacy 
 
Ensuring projects and tasks stay on track by driving follow-ups, maintaining clear communication, and proactively raising blockers for resolution or escalation. 
 
Creating clear, compelling space plans that communicate vision and logistics to stakeholders across disciplines 
 
Crafting compelling Keynote presentations that clearly articulate space strategies and engage executive audiences while using data to support and drive decisions 
 
Supporting global initiatives by providing nuanced space insights and detailed execution plans tailored to regional needs 
 
Oversee Ads lockdown security access globally, ensuring confidentiality standards and operational security requirements are met 
 
Preferred Qualifications 
 
Strong strategic thinking skills, with an ability to make complex concepts into actionable recommendations 
 
A deep appreciation for Apple&rsquo;s brand, values, and culture, with a drive to raise the bar on workplace experiences and design excellence 
 
Hands-on problem solver who is comfortable operating at both strategic and execution levels 
 
An entrepreneurial mindset with a deep understanding of technology, engineering, product, and go to market workflows 
 
Experience partnering directly with senior leaders to shape outcomes and influence decision-making 
 
Experience working with and supporting a global team 
 
Familiarity with workplace management platforms (e.g., TRIRIGA) 
 
Bachelor&rsquo;s degree in Architecture, Interior Design, or equivalent professional experience 
 
Minimum Qualifications 
 
7-10 years of experience in space planning, workplace strategy, or real estate project management 
 
Exceptional written and verbal communication and presentation skills, with the ability to engage and influence at all levels of the organization 
 
Proficiency in Apple Keynote, with demonstrated ability to communicate spatial strategies through clear, compelling, and well structured presentations 
 
Strong understanding of how physical environments influence team dynamics, collaboration, and workflows 
 
Comfort analyzing and synthesizing data to inform planning decisions, identify inconsistencies early, and proactively resolve issues 
 
A steady, solutions-oriented approach, with the ability to navigate competing priorities, perspectives and stakeholders with professionalism and clarity 
 
Demonstrated commitment to improving processes and tools with a focus on organization, efficiency, and scalability 
 
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 $110,500 and $207,300, 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 Ads Space Planner

Explore 108+ Senior site reliability engineer sre data apple ads in Cupertino this April. Find roles across top companies and apply now to boost your career.