security reviewer, secure design platform

security software engineer, data protection

senior software engineer - analytics and data privacy

administrative assistant, hardware technology

javascriptcore security engineer Jobs in Cupertino

javascriptcore security engineer

privacy engineer - health Jobs in Cupertino

privacy engineer - health

security reviewer, secure design platform Jobs in Cupertino

security software engineer, data protection Jobs in Cupertino

senior software engineer - analytics and data privacy Jobs in Cupertino

privacy engineer health

Apple

<div>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. Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team. 
 
Description 
 
We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on health, wellness, and fitness features as well as the health research studies that help develop these features. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of health and fitness features. It also includes guiding how we protect the health data Apple stores within the Data Governance Board. 
 
In this role you will: 
 
<ul><li>Review features to identify privacy exposures and partner with teams to design mitigations.</li></ul> 
<ul><li>Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact.</li></ul> 
<ul><li>Communicate privacy risks and potential mitigations to senior leadership to drive decisions.</li></ul> 
<ul><li>Guide the development of data collection systems that enable health features while preserving privacy.</li></ul> 
<ul><li>Partner with technical experts in various Health teams to provide guidance to engineers and leaders on the right privacy technology to use when developing new features, and help define how health research is conducted at Apple.</li></ul> 
Successful candidates will need to have superb communication skills and a passion for protecting privacy. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must. 
 
Preferred Qualifications 
 
Passion for customer privacy 
 
Strong collaboration, communication, interpersonal, and organizational skills 
 
Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations 
 
Ability to analyze systems&rsquo; architectures for privacy impact 
 
Ability to solve complex problems independently 
 
Programming experience 
 
Minimum Qualifications 
 
Bachelors in Computer Science or equivalent experience 
 
Experience conducting privacy reviews 
 
Experience with health research or the creation of health features 
 
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>

Privacy Engineer - Health

The App Store is the world&rsquo;s safest and most vibrant app marketplace, serving more than 850 million visitors each week. Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and technology they need to build a brighter future and a better world. The team continues to innovate the platform - which is home to over 2 million apps in over 40 languages and 175 regions around the world. A significant driver of the global economy, the App Store facilitates over $1 trillion in developer billings and sales annually, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we&rsquo;re just getting started! The App Store Analytics &amp; Data Engineering team builds privacy-first advertising and measurement systems at 
 
Apple scale - enabling developers to reach users, measure campaign effectiveness, and drive growth on our platform. We are seeking an experienced, innovative, and driven architect / leading engineer to define vision and push the boundaries of privacy-preserving measurement technologies driving both trust and utility for our users and app developers. 
 
Description 
 
In this role you will design and lead implementation of core mechanisms that support marketing measurement in a privacy-preserving environment. This role requires strong systems thinking, careful consideration of trade-offs, and the ability to translate complex ideas into simple, scalable platform capabilities. You will work at the intersection of system architecture, privacy engineering, and advertising ecosystem - shaping how measurement frameworks 
 
evolve at global scale. The ideal candidate possesses a deep understanding of the advertising technology landscape, a passion for data-driven measurement, a proven ability to contribute to and communicate a compelling product vision, and a deep commitment to user privacy.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and evolve scalable privacy-preserving measurement systems that achieve utility with user privacy guarantees 
 
Define and extend core platform capabilities (e.g., attribution, aggregation, and reporting) for use by large-scale ecosystem 
 
Translate architectural concepts into clear and usable platform APIs, analyze system behavior at scale to ensure robustness, efficiency, and consistency 
 
Partner with cross-functional engineering, product, policy, and legal teams to drive product &amp; technical vision, align on requirements and ensure end-user satisfaction 
 
Clearly communicate complex technical concepts and trade-offs to diverse audiences, including senior leadership, to set direction and drive decisions 
 
Analyze trade-offs between accuracy, performance, and privacy, and guide decision-making with data and experimentation 
 
Preferred Qualifications 
 
Experience designing or deploying privacy-enhancing technologies such as differential privacy, federated learning, secure multi-party computation, or on-device intelligence 
 
Understanding of privacy related regulations and policies (e.g., GDPR, CCPA) and their impact on system design 
 
Participation in industry standards committees focused on privacy or advertising measurement 
 
Deep expertise in advertising measurement domains such as attribution modeling, incrementally testing, conversion measurement, or campaign optimization 
 
Experience building publicly facing platforms or APIs with a focus on usability, scalability, and ecosystem adoption 
 
Minimum Qualifications 
 
10+ years of experience in software engineering 
 
Demonstrated ability to define and drive long-term technical strategy, influencing product direction and engineering roadmaps 
 
Proven track record of leading the design and delivery of complex, high-impact data or measurement platforms at global scale 
 
Deep expertise in distributed systems and data warehousing concepts (Java, Python, Spark, Trino, Hadoop, Cassandra, Kafka, Snowflake) 
 
Strong SQL, data analysis and visualization skills to define hypotheses, evaluate experiments, measure business impact, and communicate insights effectively 
 
Hands-on knowledge of the advertising technology ecosystem, including attribution, measurement, and optimization methodologies 
 
Exceptional communication and leadership skills, with experience influencing senior leadership and aligning cross-functional stakeholders 
 
Bachelor&rsquo;s degree in Computer Science, Computer Engineering 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.

Staff Engineer, App Store Analytics & Data Engineering

We're seeking an experienced AI/ML Security Engineer to serve as both a hands-on technical expert and strategic business leader in securing our artificial intelligence and machine learning systems. This dual-function role requires someone who can dive deep into technical security challenges while effectively communicating risks, strategies, and solutions to cross-functional teams and executive leadership. 
 
We offer- 
 
Opportunity to shape AI/ML security strategy at global scale 
 
Collaborative environment that values diverse perspectives and inclusive leadership 
 
Professional development budget for conferences, training, and certifications 
 
Comprehensive benefits including mental health support and accessibility accommodations 
 
Description 
 
Design and implement comprehensive security frameworks for AI/ML pipelines, from data ingestion through model deployment 
 
Conduct security assessments of machine learning deployments, identifying vulnerabilities including adversarial attacks, data poisoning, and model inversion risks 
 
Develop automated security testing and monitoring solutions for AI/ML systems at scale 
 
Lead incident response for AI/ML security events, coordinating technical remediation and stakeholder communication 
 
Establish secure MLOps practices, including secure model versioning, access controls, and audit trails 
 
Collaborate with engineering teams to integrate security-by-design principles into AI/ML development workflows 
 
Business &amp; Strategic Leadership 
 
Translate complex AI/ML security risks into business impact assessments for leadership and stakeholders 
 
Develop and present security roadmaps that align with business objectives and product timelines 
 
Lead cross-functional teams through security initiatives, fostering collaboration between engineering, legal, privacy, and product teams 
 
Establish metrics and KPIs to measure AI/ML security posture and communicate progress to executives 
 
Preferred Qualifications 
 
Advanced degree in Computer Science, Cybersecurity, or related technical field 
 
Experience with differential privacy, federated learning, or other privacy-preserving ML techniques 
 
Background in threat modeling and security architecture design 
 
Familiarity with accessibility considerations in AI/ML systems 
 
Minimum Qualifications 
 
7+ years of experience in cybersecurity with 4+ years specifically in AI/ML security 
 
Proven track record of leading both technical teams and cross-functional business initiatives 
 
Deep understanding of machine learning security threats (adversarial ML, model stealing, data poisoning, etc.) 
 
Experience with secure cloud architectures and containerization technologies (Kubernetes, Docker) 
 
Strong background in at least two programming languages (Python, Swift, C++, or similar) 
 
Experience with ML frameworks (TensorFlow, PyTorch, Core ML) from a security perspective 
 
Demonstrated ability to communicate technical concepts to non-technical stakeholders 
 
Experience with regulatory compliance in AI/ML contexts (GDPR, CCPA, AI governance frameworks) 
 
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.

AIML Security Engineering

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there's no telling what we can accomplish together. We're looking for a hardworking and passionate person to join this amazing team, and if you feel this is you, we'd love to hear from you! 
 
The Apple Services Engineering (ASE) 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 TV, Apple Music, Apple Podcasts, and Apple Books. 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. 
 
Description 
 
Our team, Apple Services Engineering (ASE) Privacy Instrumentation, works with Apple's customer-facing app development teams to answer two key questions: what metrics should we collect to answer key business questions and how will we get those metrics from client devices? We design and develop the data schema and standards for metrics, as well as the tooling that enables teams to collect these metrics, all while keeping user privacy front and center. By joining us your innovative ideas will impact billions of users worldwide and you will contribute to Apple&rsquo;s magic. 
 
We're looking for someone who thrives at the intersection of product management and engineering, helping us solve problems critical to unlocking business insights on Apple's most important customer software. In this role, you'll define the future of our privacy-first instrumentation capabilities while maintaining hands-on engineering involvement. This isn't your standard engineering role: while you will get the opportunity to write code for our tooling and data infrastructure, the bulk of your time will be focused on technical design, requirements gathering, and cross-functional collaboration. 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as necessary to answer high-level analytics questions at scale. 
 
Your responsibilities will span the full software development lifecycle - from brainstorming, design and analysis to development, implementation and maintenance. You'll define strategies for new data infrastructure products, create and maintain detailed instrumentation specifications for all new features across ASE products, and contribute code to implement these strategies. 
 
Working with stakeholders across product, engineering, data science, privacy, legal, and QA teams, you will: 
 
<ul><li>Design and implement privacy-preserving analytics systems some of Apple&rsquo;s flagship software products</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data across all Apple platforms (iOS, macOS, tvOS, watchOS, visionOS, web, and third-party)</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating specifications for engineering, data science, and QA teams</li></ul> 
<ul><li>Serve as data collection subject-matter expert, advising stakeholders on analytics impact across systems</li></ul> 
<ul><li>Partner with privacy and legal teams to balance analytics needs with consumer privacy protection</li></ul> 
The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
BS or MS in Computer Science or equivalent industry experience with iOS and/or web development 
 
5+ years of experience as a software engineer, technical product manager, or engineering-focused management consultant 
 
Strong software design skills with deep knowledge of data structures and algorithms and hands on experience with programming languages such as Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
Excellent communication and collaboration skills with ability to translate ambiguous analytics questions into concrete engineering requirements while working with large, distributed cross-functional teams 
 
Strong prioritization skills with proven ability to manage multiple programs simultaneously with overlapping deadlines 
 
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 Software Engineer - Analytics and Data Privacy

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 build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team. 
 
Description 
 
This position operates at the convergence of Software Engineering and Machine Learning Research. Unlike traditional backend roles, this position requires you to design systems where the outcome is the statistical distribution and quality of data itself. You will work alongside Research Scientists to transform theoretical observations into concrete, scalable engineering solutions. Your core focus will be the architecture of our Data Acquisition, Processing, and Repository Management systems for Large Model training. You will lead technical efforts to enable active, quality-driven data curation, including filtering, deduping, synthetic data generation and data mixing, ensuring our models are trained on the highest-quality information available.&quot;,&quot;responsibilities&quot;:&quot;Architect Scalable Ingestion Systems: Design and implement high-throughput distributed systems to ingest petabytes of text and multimodal data from diverse sources, including web crawls and third-party partnerships. 
 
Repository Optimization: Manage the lifecycle of large-scale datasets across data storage and high-performance file systems. Optimize data formats for efficient random access and sequential scanning during model training. 
 
Data Governance &amp; Privacy: Engineer robust data governance and privacy solutions for the training data, in collaboration with compliance and legal teams, to ensure adherence to stringent regulatory standards. 
 
High-Performance Processing Pipelines: Build and maintain distributed data processing workflows using advanced frameworks on cloud infrastructure (e.g., GCP, AWS). 
 
Algorithmic Data Curation: Implement sophisticated data filtering and selection logic to remove low-quality content. Develop semantic deduplication at scale to prevent model memorization and improve training efficiency. 
 
Decontamination Removal: Design automated systems to detect and remove benchmark leakage, ensuring that evaluation datasets remain strictly isolated from training corpora. 
 
Infrastructure for Scaling Laws: Collaborate with researchers to enable data ablations and scaling experiments. Build tools to support systematic data mixture optimization and empirically data studies. 
 
Preferred Qualifications 
 
Research Collaboration: Experience working within or closely with ML research organizations (e.g., as a Research Engineer), with an ability to translate research results into engineering implementations. 
 
Domain Knowledge: Familiarity with lifecycle of modern LLM training, end-to-end workflows, and underlying system architecture. 
 
Complex Data Types: Experience in processing complex data modalities beyond plain text, such as source code repositories, images, videos, and audios. 
 
Minimum Qualifications 
 
Education: Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or Mathematics. 
 
Technical Expertise: 4+ years of software engineering experience with a specific focus on Data Infrastructure, Distributed Systems, or AI/ML Engineering. 
 
Language Proficiency: Expert fluency in Python, and strong competence in system languages such as C++. 
 
Cloud Architecture: Extensive experience architecting solutions on major public cloud platforms (e.g. GCP) to build scalable data systems (e.g. with Apache Beam, GCS) 
 
Performance Engineering: Deep experience profiling and optimizing high-throughput data systems. Demonstrated ability to debug distributed bottlenecks (e.g., stragglers, I/O saturation), optimize data formats and provide efficient data storage solutions. 
 
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 Research Engineer, Training Data Infrastructure in Foundation Models

The Find My team is dedicated to building a seamless, private, and secure experience for users to locate their devices, personal items, and share location with friends and family. We're a group of highly motivated engineers, designers, and product managers who are passionate about creating a simple and reliable experience for hundreds of millions of users worldwide. We thrive in a fast paced environment where team members are often encouraged to wear multiple hats and contribute to various aspects of the product lifecycle. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience. 
 
Description 
 
As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. 
 
You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale. 
 
Preferred Qualifications 
 
Experience with open table formats such as Delta Lake or Apache Iceberg 
 
Experience with Spark on Kubernetes 
 
Experience with data quality monitoring and anomaly detection 
 
Familiarity with BI/visualization tools (e.g., Superset) 
 
Familiarity with privacy-preserving data engineering techniques 
 
Experience with machine learning applied to the domain of data engineering and analytics 
 
Minimum Qualifications 
 
BS in Computer Science, Data Engineering, or related field 
 
10+ years of experience working with large data sets and dimensional data modeling 
 
10+ years of experience with data processing using Spark and SparkSQL 
 
Experience with data pipeline orchestration tools 
 
Expertise in Java or Scala, and experience with Python 
 
Experience with Amazon Web Services, GCP, or Azure 
 
Strong communication and collaboration 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.

Data Engineer, Find My

Explore 69+ Privacy engineer health in Cupertino this April. Find roles across top companies and apply now to boost your career.