aiml - machine learning engineer, data and ml innovation

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aiml - sr machine learning engineer, responsible ai

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ai/ml engineer: system rf data ecosystem Jobs in Cupertino

ai/ml engineer: system rf data ecosystem

aiml - ai software engineer, evaluation Jobs in Cupertino

aiml - ai software engineer, evaluation

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

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

aiml - sr machine learning engineer, responsible ai Jobs in Cupertino

data analytics engineer apple services engineering

Apple

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology! These are the people who power the App Store, Apple Music, Apple TV, Apple Games, and many others. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, forward-thinking, and cross-functional, offering greater exposure to the array of opportunities here. 
 
Description 
 
As a team member of the ASE Data Engineering team, you will have significant responsibility and influence in shaping its future direction. This role is inherently cross-functional and the ideal candidate will work across disciplines. We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipeline. This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication, as well as, a belief that data driven processes lead to phenomenal products. You will need to have a passion for quality and an ability to understand sophisticated systems. 
 
Preferred Qualifications 
 
MS in Computer Science or a related field with 7+ years experience. 
 
Experience leading complex engineering projects from inception to production across organizational boundaries. 
 
Exceptional analytical skills combined with a deep knowledge of data structures and algorithms. 
 
Can see the big picture, set a vision, and grow the team and platform in accordance to that vision. 
 
Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership. 
 
Deep experience in designing and implementing scalable big data solutions that span multi-functional teams. 
 
Minimum Qualifications 
 
BS in Computer Science or a related field with 5+ years experience. 
 
Strong technical knowledge in Java, Scala, SQL. 
 
Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem. 
 
Experience integrating messaging technologies like Kafka. 
 
Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc. 
 
Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects. 
 
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.

Data Analytics Engineer - Apple Services Engineering

<div>Apple's Media, Graphics, and Compute Technologies Group (MGC) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team provides the infrastructure to power numerous trend and operational dashboards as well as other ad-hoc use cases in support of services like Apple TV, Apple Music, and FaceTime. We are leveraging Generative AI and Machine Learning technologies to provide best-in-class data analytics and monitoring. 
 
This role offers the opportunity to help design, enhance, and develop our very-high-volume processing pipeline. You'll work with talented engineers within our team as well as cross-functional teams in an agile and dynamic environment that values engineering excellence, creativity, and innovation, and you will be a key contributor to our next generation of processing pipeline and data analytics platform. 
 
Description 
 
Our team leverages modern Data Engineering, Generative AI and Machine Learning technologies to deliver actionable insights. You will be: 
 
<ul><li>Collaborating with data scientists across functional teams to define and enhance performance metrics that provide valuable insights for stakeholders</li></ul> 
<ul><li>Building and maintaining:</li></ul> 
<ul><li>Ingestion pipelines for real-time data processing</li></ul> 
<ul><li>Real-time applications driving operational monitoring</li></ul> 
<ul><li>Batch ETL/ELT applications populating our data warehouse</li></ul> 
<ul><li>Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities</li></ul> 
<ul><li>Applying Machine Learning technologies for anomaly detection&quot;,&quot;responsibilities&quot;:&quot;Tuning and scaling Apache Kafka producer/consumer, Spark Structured Streaming and Flink applications running in cloud environment</li></ul> 
Managing and monitoring large scale data collection and analytics pipelines at the application level 
 
Performing capacity planning to scale infrastructure and applications running on Kubernetes 
 
Troubleshooting production issues and conducting performance analysis of distributed systems 
 
Collaborating with cross-functional teams to ensure high availability and reliability of data pipelines 
 
Keeping up with the latest data engineering trends and applying the corresponding technologies 
 
Preferred Qualifications 
 
Production experience with Apache Kafka, Spark, or Flink 
 
Working knowledge of Trino or similar distributed query engines 
 
Experience building multi-agent AI systems or agentic workflows 
 
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs 
 
Experience with creating and consuming Model Context Protocol (MCP) services 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or equivalent professional experience 
 
Experience in building large scale distributed systems in Java/Python or similar languages 
 
Proficient in SQL 
 
Experience with data warehouse architectures and dimensional modeling 
 
Demonstrated ability to conduct performance analysis and troubleshoot large scale distributed systems 
 
Strong collaboration skills with ability to understand complex architectures and work effectively across teams 
 
Hands-on experience with Docker and Kubernetes 
 
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 $126,800 and $220,900, 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>

Data Engineer

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, new ideas quickly transform into products, services, and customer experiences that delight millions. This innovation is fueled by cutting-edge hardware developed within the Hardware Engineering Group. As a vital part of this organization, the System RF group designs and characterizes wireless systems across Apple&rsquo;s flagship products-including iPhone, Watch, iPad, Mac, and Audio-ensuring world-class performance from prototype to production. 
 
Within this organization, the Smart Data Ecosystem team empowers product evolution by building AI/ML-powered analytics that unlock critical insights from complex wireless manufacturing and design data. The team is currently seeking a SW Development Engineer who can build and deploy scalable, end-to-end software tools and systems in distributed cloud environments. 
 
Join a team operating at the intersection of hardware, data, and AI-architecting intelligent software tools that solve complex system optimization problems where you can directly influence the performance of Apple products used worldwide! 
 
Description 
 
This role focuses on building high-quality software systems that support and scale critical engineering workflows in a fast-paced, startup-like environment. As a Software Development Engineer, you will contribute to the design and implementation of full-stack applications, working across front-end interfaces, backend services, and cloud-based infrastructure. You will collaborate closely with senior engineers to translate evolving requirements into well-structured, maintainable code, applying strong software fundamentals to ensure correctness, performance, and reliability. You possess strong debugging skills across the stack, with the ability to use logs, metrics, and systematic problem-solving to diagnose and resolve development and production issues. You write automated tests and ensure code quality through thorough testing and code reviews, while applying performance best practices to deliver scalable, efficient software. Through hands-on development, testing, and debugging, you will help deliver software that is resilient, scalable, and ready for rapid iteration.&quot;,&quot;responsibilities&quot;:&quot;Build Full-Stack Systems: Design, implement, and maintain end-to-end applications spanning front-end interfaces, backend services, and APIs in distributed cloud environments. 
 
Deliver Scalable, Production-Ready Software: Develop reliable, performant services, applying performance best practices to ensure efficient, high-volume workflows. 
 
Apply Software Fundamentals and Testing: Write clean, maintainable, well-tested code and participate in code reviews to ensure high-quality software. 
 
Debug Across the Stack: Diagnose and resolve issues across front-end, backend, and infrastructure using logs, metrics, and systematic problem-solving. 
 
Contribute to Cloud &amp; DevOps Workflows: Participate in CI/CD pipelines, cloud deployments, monitoring, and operational best practices for system reliability. 
 
Collaborate and Communicate: Work closely with senior engineers and cross-functional teams to clarify requirements, make technical decisions, and deliver impactful solutions. 
 
Preferred Qualifications 
 
5+ years of professional software development experience delivering high-quality, production-ready systems. 
 
Experience deploying scalable solutions handling high-volume data in production environments. 
 
Practical experience building applications or platforms that leverage AI, LLMs, or analytics-driven workflows to enhance functionality or insights. 
 
Familiarity with DevOps practices, including CI/CD pipelines, containerization (Docker), and monitoring/observability tools (logging, metrics, alerting). 
 
Exposure to fast-paced, startup-like environments with rapidly evolving requirements and ambiguity. 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Computer Science, Engineering, or a related field, with 4+ years building production-quality full-stack applications. 
 
High proficiency in Python, including REST API development, Flask-based web applications, asynchronous task processing (Celery), and production-ready code. 
 
Hands-on experience with modern front-end frameworks (e.g., React) and relational databases such as PostgreSQL, including schema design and query optimization. 
 
Proven ability to diagnose and resolve issues across the full stack, including development and production environments. 
 
Familiarity with cloud environments (AWS, GCP, Azure), CI/CD workflows, version control, and modern software engineering best practices. 
 
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.

SW Development Engineer: System RF Data Ecosystem

Imagine what you could do here. 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's no telling what you can accomplish. 
 
Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. 
 
Description 
 
Data is our first class citizen and the foundation of any AI features. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. 
 
The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple&rsquo;s privacy policy, which forms Apple&rsquo;s core values. You will have important responsibility and influence in designing and building the data platform to empower businesses, operations, data analytics and AI feature. &quot;,&quot;responsibilities&quot;:&quot;Join a fast growing team of data engineers to develop and iterate quickly on all stages of data processing. 
 
Lead, design, develop, and drive the unique solutions necessary to scale to Apple Service&rsquo;s diverse data requirements. 
 
Innovate and inspire a scalable data vision for current and extension to support AI needs. Influence internal teams, partners, and stakeholders to execute on that vision. 
 
Drive for quality, scalability and a strong collaborative environment. 
 
Preferred Qualifications 
 
Strong analytical skills with solid understanding of data structures and algorithms. 
 
Excellent communicator, able to explain complex concepts clearly. 
 
Strong interest in processing data to power embedded and AI features. 
 
Minimum Qualifications 
 
BS/MS in Computer Science or related field with 8+ years of experience. 
 
Strong programming skills in Java, Scala, SQL, with hands-on experience in distributed compute/storage systems like Spark, Iceberg, Cassandra, Hadoop/HDFS, AWS/S3. 
 
Multi-year experience in big data processing of batch and streaming using Flink and Spark. 
 
Proven ability to lead engineering projects from design to production across teams. 
 
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.

Sr. Software Engineer, Big Data - Apple Services Engineering

Apple is where individual creativities gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. 
 
Description 
 
The Siri Quality Engineering team is seeking an Analytics Data Engineer to build a Curated, Accurate, Reliable data lake - a governed lakehouse with point-in-time and near-real-time pipelines, and a clear semantic layer - so teams trust and use data to help drive operational and business decisions. 
 
You will ultimately be part of a collaborative team that's responsible for understanding how well our products work, advocating for critical changes, and representing how they'll be experienced by our customers. We deliver descriptive, diagnostic, prescriptive, and predictive analytics that show what&rsquo;s happening, explain why, recommend what to do, and empower decision making automation. We publish certified metrics and models used in executive-facing reports, raising product quality, accelerating releases, and reducing risk across all Apple platforms and locales. As a member of our passionate group in Siri, you will have the unique and rewarding opportunity to shape and improve our products to delight and inspire millions of Apple's customers every day.&quot;,&quot;responsibilities&quot;:&quot;Build curated, accurate, and reliable data that powers Siri AI 
 
Design and run our lakehouse so analysts and data scientists can move fast with confidence 
 
Design and evolve the lakehouse (i.e. Apache Iceberg): schemas, partitioning, compaction, and schema evolution 
 
Build batch and streaming pipelines with Python/Spark/PySpark; orchestration with Apache Airflow (or similar) 
 
Ingest from diverse sources; manage metadata, lineage, and the data catalog 
 
Enforce data quality (tests, SLAs, monitors) and reliability (idempotency, replay, backfills) 
 
Optimize cost and performance across storage and compute 
 
Partner with analysts to deliver semantic layers, certified metrics, and feature tables 
 
Document, review, and automate scripts, runbooks, CI/CD, and infra-as-code 
 
Preferred Qualifications 
 
Spark Streaming, Kafka, Flink or similar streaming; near-real-time analytics 
 
Data-quality frameworks and observability 
 
Experience with feature stores and ML data pipelines 
 
BS/MS in an engineering or a related field (or equivalent) 
 
Minimum Qualifications 
 
5+ years in data engineering; expert SQL and Python knowledge 
 
Deep Spark experience (batch + structured streaming) 
 
Hands-on experience with a modern data lake technology: Iceberg or equivalent of object storage 
 
Proven pipeline orchestration (Airflow or equivalent) and Git-based delivery 
 
Strong data modeling, governance, lineage, and reliability practices 
 
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.

Software Development Engineer - Data, Siri

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies. 
 
Description 
 
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle. 
 
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to: 
 
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions 
 
Help drive architectural vision to support future growth and opportunities 
 
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy 
 
Own data quality, scalability, and SLAs for assigned datasets and pipelines 
 
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems 
 
Preferred Qualifications 
 
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly. 
 
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience. 
 
3+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. 
 
Strong computer science fundamentals with proven problem-solving skills. 
 
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka. 
 
Experience with big data ecosystem technologies such as HDSF, Hadoop, S3, MPP database, Kubernetes and Airflow. 
 
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features. 
 
Strong data intuition, backed by solid SQL and data analysis skills. 
 
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.

Software Engineer, Big Data - Apple Services Engineering

Explore 102+ Data analytics engineer apple services engineering in Cupertino this March. Find roles across top companies and apply now to boost your career.