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engineering project manager shared frameworks apps

Apple

The Apps team is in search of a high-energy and ambitious Engineering Project Manager. In 
 
this role, you will be part of a team responsible for delivering new features for some of Apple&rsquo;s 
 
most popular applications. We are looking for someone who takes ownership and is committed 
 
to shipping awesome products. Our team combines strong technical skills, product vision, and 
 
a love of all things project management to bring together the pieces needed to an extraordinary 
 
user experience with Apple software products. 
 
Description 
 
As a member of our dynamic group, you will have the rare and rewarding opportunity to ship 
 
upcoming products that will delight and inspire millions of Apple&rsquo;s customers every day. This 
 
role requires balancing a wide variety of deliverables that will rely on your talent for social 
 
engineering, managing priorities, and communicating progress and risks eﬀectively.&quot;,&quot;responsibilities&quot;:&quot;Work with Software Engineering, Design, QA, and cross-functionally with various 
 
organizations to manage and track deliverables. 
 
Schedule and facilitate meetings, including taking notes. 
 
Be hands-on in product details and requirements, providing strategic guidance to teams 
 
building innovative new features. 
 
Foresee and manage risks and dependencies, and work to ensure that roadblocks are 
 
removed and all open issues are resolved. 
 
Build relationships to achieve results. 
 
Preferred Qualifications 
 
Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related 
 
subject area, or the equivalent industry experience. 
 
Previous experience leading a team. 
 
Minimum Qualifications 
 
5+ years of Engineering Project Management expertise, delivering software and services 
 
through a full project lifecycle. 
 
Bachelor&rsquo;s degree required in Computer Science, Engineering, Information Technology, or a 
 
related subject area, or the equivalent industry experience. 
 
Experience managing native app development and/or framework integration into applications 
 
using Agile methodology. 
 
Enjoy technical challenges and have the ability to work with various teams, building and 
 
managing relationships to navigate delivery dependencies. 
 
Versatile problem solver, equipped with a strong analytical approach to various challenges in 
 
complex environments. Adept at creative and critical thinking, able to deconstruct problems, 
 
resolve conflicts and lead the teams to solutions. 
 
Self starter with a strong sense of personal responsibility and a technical orientation.&bull; Excellent interpersonal skills, especially the ability to filter and distill meaningful information to 
 
the right audience. 
 
You are someone who appreciates and enjoys the technical challenges that can exist in 
 
delivering software. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Engineering Project Manager, Shared Frameworks, Apps

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

The Rights &amp; Pricing engineering team provides the Apple Services platform for distribution rights by country, calculation and management of prices including retail, offers, wholesale, and tax. Rights &amp; Pricing also includes Partner Onboarding which encompasses the vendor application process, signing of digital contracts, collection of bank account and tax information, and business systems that manage the presentation layers of payments, invoicing, and financial reporting. 
 
Description 
 
We are looking for a highly skilled and hands-on QA Automation Engineer who is passionate about building scalable automation frameworks, improving product quality, and leveraging AI to accelerate testing. This role requires strong coding skills, deep understanding of test automation, and the ability to work closely with engineering and product teams to enable a shift-left, automation-first quality strategy. Provides IC leadership by shaping automation standards and driving cross-functional quality decisions&quot;,&quot;responsibilities&quot;:&quot;Design, develop, and maintain scalable UI and API automation frameworks with reliable, reusable test suites using modern tools (e.g., Playwright, Selenium, REST clients) and clean code in JavaScript/TypeScript, Python, or Java 
 
Integrate automation into CI/CD pipelines and advocate for shift-left testing, including pre-merge validation and automation gating 
 
Ensure comprehensive test coverage across functional, regression, and integration layers, including test data strategies for complex systems 
 
Debug failures, improve test stability and flakiness, and optimize test execution performance 
 
Contribute to test infrastructure, shared libraries, and utilities while reviewing automation and product code to uphold quality standards 
 
Leverage AI tools (e.g., LLMs, code assistants, test generators) to accelerate test creation, improve coverage, automate defect detection, and drive innovation in quality engineering 
 
Partner with Product and Engineering early in the development lifecycle to define test strategies and acceptance criteria 
 
Drive quality best practices and take end-to-end ownership of quality for features and services 
 
Work across multiple environments and integrations to ensure end-to-end validation in close partnership with cross-functional teams (Engineering, Product, DevOps) 
 
Provide clear status, risks, and quality insights to stakeholders 
 
Preferred Qualifications 
 
Experience with AI/ML tools for testing (LLMs, code generation, test optimization) 
 
Experience in distributed systems / integration testing 
 
Knowledge of cloud environments (AWS, Kubernetes) 
 
Experience with performance or security testing is a plus 
 
Minimum Qualifications 
 
5-8+ years of experience in QA Automation / Software Quality Engineering 
 
Strong programming skills in JavaScript/TypeScript, Python, or Java 
 
Hands-on experience with automation frameworks (e.g., Playwright, Selenium, Cypress) 
 
Experience with API testing (REST, JSON, Postman, etc.) 
 
Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.) 
 
Solid understanding of software development lifecycle and testing methodologies 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Quality Automation Engineer, Rights & Pricing- Partner Onboarding Business

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

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. 
 
Are you passionate about taking AI from prototype to production at scale? 
 
Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? 
 
Can you build AI systems that are not just impressive demos, but reliable production tools? 
 
The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day. 
 
Description 
 
The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable.&quot;,&quot;responsibilities&quot;:&quot;Prototype AI solutions to rapidly validate use cases and demonstrate feasibility 
 
Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability 
 
Implement prompt engineering solutions optimized for legal use cases 
 
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs 
 
Develop context engineering approaches that leverage the semantic layer for improved accuracy 
 
Implement grounding mechanisms to reduce hallucinations and improve factual accuracy 
 
Build evaluation frameworks to measure AI accuracy, relevance, and safety across use cases 
 
Integrate AI capabilities with legal workflows (CLM, matter management, eBilling) 
 
Develop AI agent solutions for automation use cases across legal operations 
 
Implement guardrails and safety mechanisms for production AI systems 
 
Collaborate with AI Architect on system design and technical standards 
 
Support AI Product Developers with APIs, integration patterns, and technical guidance 
 
Preferred Qualifications 
 
Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks 
 
Experience with agentic AI frameworks (LangGraph, CrewAI, or similar) 
 
Familiarity with knowledge graphs and GraphRAG patterns 
 
Experience with AI evaluation tools (RAGAS, DeepEval, or similar) 
 
Knowledge of legal domain and legal NLP applications 
 
Experience with guardrails and safety frameworks (Guardrails AI, NeMo Guardrails) 
 
Understanding of MCP (Model Context Protocol) or similar integration patterns 
 
Experience deploying and monitoring AI systems at scale 
 
Track record of shipping AI products that users rely on 
 
Minimum Qualifications 
 
4+ years of delivering solutions in AI/ML engineering, NLP, or related roles 
 
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar) 
 
Experience with LLM APIs (OpenAI, Anthropic, or similar) 
 
Experience with RAG architectures and vector databases 
 
Understanding of prompt engineering techniques and best practices 
 
Experience taking AI systems from prototype to production 
 
Experience with evaluation frameworks for AI systems 
 
Supporting AI applications in production 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI/ML Engineer, Applied Data Science

<div>The Software Localization &amp; Engineering team powers the tooling, features and processes used to create an exceptional localized experience for Apple&rsquo;s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple&rsquo;s products. 
 
We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling, processes and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required. 
 
Description 
 
As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple&rsquo;s products. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Your duties include: 
 
<ul><li>Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment</li></ul> 
<ul><li>Helping define a scalable, data driven quality program to continuously improve ML based products and features globally</li></ul> 
<ul><li>Collaborating with translation, Localization quality, project management and engineering teams to develop and scale the approach with a focus on the end user and the product quality</li></ul> 
<ul><li>Developing and maintaining features, frameworks and tools to help facilitate the software translation process</li></ul> 

Preferred Qualifications 
 
Hands-on experience with handling large datasets and developing data analytics pipelines for natural language based products 
 
Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products 
 
Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT) 
 
Experience in software Localization / internationalization 
 
Native-level foreign language skills in reading, writing and speaking 
 
Experience or curiosity in languages and culture, comfortable working cross-functionally and cross-culturally 
 
Published research in the field of Machine Learning or AI 
 
Minimum Qualifications 
 
Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP) 
 
Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging 
 
Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models 
 
Strong programming skills in Python or other scripting languages 
 
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.</div>

Machine Learning Engineer, International Data Engineering

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 105+ Engineering project manager shared frameworks apps in Cupertino this April. Find roles across top companies and apply now to boost your career.