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senior software engineer tech lead data solutions initiatives

Apple

Imagine what you could do here. 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. 
 
The Data Solutions &amp; Initiatives (DSI) team supports Apple&rsquo;s business leaders as they project, manage, and report on business performance. We do this by driving vast improvements for our customers, experiences that delight, platforms that scale to meet the demands of the business, tools that provide crucial productivity and insights. 
 
Description 
 
This is a software engineering tech lead role. You will collaborate closely day-to-day with engineers, users and business leaders to plan, design, build and deliver high-quality, scalable and resilient cloud-based software solutions that enable enriched and intelligent data exploration, analytics and reporting.&quot;,&quot;responsibilities&quot;:&quot;Lead system architecture and delivery of resilient, scalable and complex software solutions meeting business needs in a timely and cost-efficient manner 
 
Develop robust full-stack solutions with meticulous attention to quality and maintainability; Foster thoughtful innovation and experiment with better approaches while maintaining high standards 
 
Partner with product, leadership and other cross-functional partners to define technical strategy and direction; Lead technical discussions that build shared understanding and drive alignment on priorities and trade-offs 
 
Own technical strategy and delivery across the full development lifecycle; Ensure solutions deliver on functional and non-functional commitments 
 
Debug production issue, performing root cause analysis and ensuring timely followups on short-term and long-term solutions 
 
Mentor and coach engineers at various levels in system design thinking, problem solving and best practices; foster a culture of collaboration, excellence, innovation, and continuous learning 
 
Drive technical exploration of promising technologies and approaches; Build proofs of concept to validate ideas and present learnings across engineering team to build collective knowledge and make informed recommendations 
 
Lead long-term technical vision and roadmap; Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt 
 
Preferred Qualifications 
 
10+ years of hands-on software engineering experience 
 
Proven track record of architecting and developing distributed systems leveraging big data technologies with long-term viability 
 
Proven hands-on experience in rapid system scaling, performance and resilience testing 
 
Deep working knowledge of AWS or other cloud platforms 
 
Familiarity with data modeling and machine learning algorithms 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or equivalent experience 
 
Minimum Qualifications 
 
7+ years of hands-on software engineering experience with impeccable analytical and problem-solving skills 
 
Proven track record of leading cross-functional technical projects and planning roadmap in which near-term initiatives ladder to long-term mission 
 
Proficiency in JavaScript/TypeScript and one compiled language, e.g. Java, Go, Scala 
 
Familiarity with systems architecture, distributed systems and big data technologies 
 
Knowledge of infrastructure, various data stores and caches 
 
Experience in conveying technical concepts effectively and building shared understanding across engineering, product and leadership teams 
 
Ability to guide teams through iterative planning, execution, and delivery processes 
 
Strong understanding of computer science fundamentals and software design principles; Desire for continuous learning 
 
Demonstrated history of continuous technical growth and comfort mastering new areas and technologies 
 
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 $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Software Engineer - Tech Lead, Data Solutions & Initiatives

Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Animation Engineer. You would join a team building simulation art assets. Apple is where individual imaginations 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&rsquo;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&rsquo;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&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
Description 
 
As a Senior Simulation Machine Learning Engineer, you will join an innovation-driven team advancing Apple&rsquo;s simulation and synthetic data technology to support a wide range of AI/ML initiatives. You will design, prototype, and productionize systems that generate high-quality 3D scenarios and multi-modal synthetic datasets used throughout Apple&rsquo;s ML ecosystem. 
 
We&rsquo;re looking for an engineer with deep experience, strong ML intuition, and the ability to turn ambitions into robust tools. You should be comfortable exploring new ideas, iterating quickly, and driving solutions from prototype to polished implementation. Collaboration is essential - you will partner closely with engineers, animators, technical artists, and ML researchers across the organization. You will play a key role in shaping Apple&rsquo;s next generation of AI/ML capabilities by defining how simulation data is generated, validated, and delivered at scale.&quot;,&quot;responsibilities&quot;:&quot;Design and implement systems for generating, varying, and validating 3D simulation scenarios, leveraging generative models, procedural techniques, and diverse data sources to create environments, human animation and behavior, rendering and lighting. 
 
Develop prototypes and production systems that expand our capabilities and scale across teams 
 
Partner with engineers, ML researchers, and content creators to deliver efficient, reliable pipelines. 
 
Develop tools and APIs that enable internal users to easily author, manage, and execute simulations. 
 
Debug and resolve issues across scenario generation, simulation, and data quality. 
 
Identify architectural improvements and drive long-term strategy for scenario generation and simulation-based data pipelines. 
 
Stay current with advances in world models, generative video/3D models, neural rendering, procedural content generation, and simulation technologies. Introduce promising methods into production workflows. 
 
Preferred Qualifications 
 
Familiarity with USD format and tools 
 
Experience with neural rendering, 3D generative models, learned simulation techniques. 
 
Experience guiding technical direction, influencing architecture in a software engineering team 
 
Understanding of real-time and offline rendering pipelines. 
 
Experience with animation 
 
Experience with complex industrial or commercial simulation systems or large-scale data generation workflows. 
 
Minimum Qualifications 
 
5+ years of professional experience in ML, simulation, graphics, or related fields. 
 
Strong proficiency in Python and modern machine learning techniques. 
 
Working knowledge of C++ and robust software engineering fundamentals. 
 
Experience with LLMs, VLMs, diffusion models, world models, or similar generative/modeling frameworks. 
 
Experience with 3D data, scene representations, and rendering fundamentals. 
 
Strong communication and cross-functional collaboration skills are key. 
 
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 Simulation Machine Learning Engineer - Special Projects

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 Senior AI Development Engineer to architect, develop and deploy scalable AI solutions internally. 
 
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 is dedicated to transforming engineering productivity and enabling cutting-edge hardware design through the strategic application of machine learning and generative AI. As a Senior AI Engineer, you will bridge the gap between complex hardware engineering workflows and state-of-the-art artificial intelligence. You will architect intelligent agents capable of automating repetitive engineering tasks, analyzing high-dimensional data to surface hidden trends, and tapping into decades of historical design intelligence. By building these systems, you will empower engineers to arrive at critical decisions with unprecedented speed and accuracy, directly influencing the next generation of Apple innovation. 
 
&quot;,&quot;responsibilities&quot;:&quot;Integrate Large Language Models: Direct the integration of state-of-the-art LLMs (such as Anthropic Claude, Mistral, and Gemini) via both cloud-based APIs and secure on-premise deployments. 
 
Orchestrate Tool-Use and Integration: Develop safe and efficient mechanisms for agents to invoke APIs, query high-dimensional databases, and interact with custom internal engineering tools. 
 
Optimize Retrieval and Knowledge: Architect and maintain advanced RAG (Retrieval-Augmented Generation) pipelines and oversee LLM fine-tuning processes to align models with domain-specific engineering data. 
 
Design and Architect Multi-Agent Systems: Lead the development of sophisticated multi-agent architectures, specifically focusing on complex orchestration, coordination, and persistent state management. 
 
Scalable Deployment: Oversee the transition of AI solutions from experimental prototypes to robust, production-scale internal services that handle complex, high-volume engineering requests. 
 
Preferred Qualifications 
 
10+ years of professional experience in AI/ML-related projects, demonstrating a long-term track record of innovation and technical leadership. 
 
Proven ability to build efficient interfaces for agents to invoke APIs, query high-dimensional databases, and interact with custom toolsets. 
 
Proficiency in Python (Core and Async) and a strong command of FastAPI or Flask for serving high-performance AI endpoints. 
 
Proven success in deploying Generative AI solutions tailored to complex, high-dimensional, and domain-specific engineering data. 
 
Prior experience overseeing the full lifecycle of large-scale software applications deployed within an enterprise-grade production environment. 
 
Deep understanding of model selection, intelligent routing, and fallback strategies to ensure reliability across multiple LLM providers. 
 
Experience developing and implementing rigorous Gen AI evaluation systems to measure the performance, safety, and accuracy of deployed agents 
 
Minimum Qualifications 
 
7+ years of experience in AI/ML-related projects, with a proven track record of architecting and deploying production-scale Generative AI solutions. 
 
Masters or PHD in Artificial Intelligence, Machine Learning, Computer Science or a related field. 
 
Expert-level knowledge of multi-agent system design, including sophisticated orchestration, coordination, and persistent state management. 
 
Strong command of Agent Communication Protocols (e.g., MCP, A2A) and frameworks for designing distributed agentic workflows. 
 
Expert-level software development skills with a solid foundation in architectural design principles and the creation of scalable, modular systems. 
 
Proven ability to lead cross-functional architecture discussions and translate ambitious product goals into robust technical system designs. 
 
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.

AI/ML Engineer: System RF Data Ecosystem

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

We&rsquo;re looking for a Senior Software Engineer to help build the next generation of large-scale data systems that power high-impact decisions across Siri. In this role, you'll operate at the intersection of engineering excellence and business impact. You&rsquo;ll design and implement scalable, reliable systems to transform raw data into actionable insights for leadership. This is a high-visibility, high-impact position with the opportunity to influence the direction of products and strategy. 
 
The Siri User Experience Metrics team is at the heart of shaping how users interact with Siri every day. We use data, metrics and insights to continuously improve Siri&rsquo;s User Experience across Apple platforms including iOS, macOS, visionOS, tvOS and watchOS. 
 
Our team defines and owns the most critical user facing metrics, identifies quality issues, builds scalable reporting tools and delivers actionable insights that directly inform product decisions. We collaborate closely with product, platform and feature teams to ensure Siri not only works - but delivers exceptional User Experience. From response time to failure tracking, we make sure Siri feels fast, natural and helpful wherever users need it. 
 
As a Senior Software Engineer on the Siri User Experience Metrics team, you will have significant influence and responsibility in identifying and alert on quality issues using data and metrics to shape Siri&rsquo;s User Experience. 
 
If this sounds like you, you're someone who&rsquo;s laser-focused on impact - bringing sharp programming skills, strong problem-solving abilities and clear communication to the table, all driven by a passion for building exceptional products. 
 
You'll have the opportunity to drive meaningful impact across all Apple platforms by collaborating closely with Engineering, Product, Testing and Quality teams. Your work will directly enhance the Siri experience for billions of users - shaping how people interact with Apple every day. 
 
Description 
 
Join us in building the data backbone of Siri&rsquo;s regression detection system - the platform that enables engineering teams and senior leadership to see, understand, and improve product quality. In this role, you&rsquo;ll build large-scale data systems that power metrics observability at scale. Success in this role means not only technical excellence, but also the ability to collaborate across teams, communicate effectively and align diverse stakeholders around solving complex, high-impact challenges. 
 
You thrive in fast-paced, dynamic environments and are comfortable navigating ambiguity to deliver meaningful, incremental impact. You bring strong problem-solving skills, operate with a high degree of autonomy and have a track record of executing effectively. With a commitment to continuous learning and attention to detail, you actively seek opportunities to innovate and share knowledge. You follow engineering best practices - including unit testing, CI/CD, documentation, monitoring, and alerting - to ensure reliable, maintainable solutions. In this role, you&rsquo;ll collaborate closely with stakeholders to understand metric needs, provide technical guidance, gather requirements and deliver robust data solutions and intuitive dashboards. 
 
Preferred Qualifications 
 
Experience supporting the end-to-end machine learning lifecycle, including data ingestion, feature pipelines, batch inference, and model monitoring in production environments. 
 
Hands-on experience building, scheduling, and maintaining data and ML workflows using orchestration frameworks such as Apache Airflow 
 
Experience working in cloud environments (AWS, GCP, or Azure) and integrating data pipelines with cloud-native storage and compute services 
 
Minimum Qualifications 
 
7 years of development experience and Bachelors or Masters degree in Computer Science or related field or 5 years development experience and PhD in Computer science or related field. 
 
Expert knowledge of one or more object-oriented programming languages (Java, Objective-C, C++, Scala, Swift etc) or scripting languages (Python, Ruby, Bash etc.). 
 
Experience working with Spark or other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient and large scale data systems. 
 
Expertise in development of big data systems and ETL for product metrics and analysis of large data volumes to identify patterns, draw insights and troubleshoot issues. 
 
Knowledge of SQL to analyze data, derive insights and drive improvements. 
 
Leadership experience, including being a technical lead for complex, cross functional development projects demonstrating good technical judgement and prioritization 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 $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, Siri User Experience Metrics and 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

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 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 37 languages to more than 175 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 dedication 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, nimble, and cross-functional, offering greater exposure to the array of opportunities here. 
 
Description 
 
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 includes 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. This is a key team for Apple Services Engineering! 
 
As a Senior Applied AI/ML Engineer, you will shape how our team adopts AI/ML-from rapid prototyping to production systems at scale. You'll identify high-impact opportunities, build proof-of-concepts to validate ideas, then leverage Apple's internal ML infrastructure to productionize solutions serving millions of users. Beyond building, you'll establish best practices, mentor engineers to become AI-native practitioners, and help define our AI/ML culture for years to come. 
 
Sound like a great opportunity? Join us!&quot;,&quot;responsibilities&quot;:&quot;Lead AI/ML initiatives end-to-end-from prototyping and experimentation to production deployment 
 
Develop and fine-tune models (including LLMs) for rights management, pricing optimization, and partner operations 
 
Create compelling demos that communicate AI capabilities and inform product direction 
 
Build reusable patterns and documentation that enable engineers to incorporate AI/ML into their work 
 
Partner with product and business teams to identify automation opportunities 
 
Establish evaluation frameworks and standards for responsible AI development 
 
Mentor engineers and influence AI/ML adoption across the team 
 
Preferred Qualifications 
 
Experience establishing AI/ML practices in teams new to AI/ML 
 
Background in optimization, pricing algorithms, or financial systems 
 
Experience with privacy-preserving ML techniques 
 
Minimum Qualifications 
 
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of industry experience 
 
Proven track record of leading successful AI/ML projects from conception to deployment 
 
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of applied AI/ML experience 
 
Demonstrated experience solving business problems with the help of AI/ML, developing reliable evaluation frameworks to assess model efficiency, and scaling operations to large-scale production deployments 
 
Strong proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) 
 
Experience with ML pipelines (feature engineering, training, serving, monitoring) 
 
Proficiency in Python and experience with distributed systems 
 
Proven ability to mentor and influence engineering teams on AI/ML adoption and leading mission-critical initiatives 
 
Excellent communication skills with ability to translate technical concepts for diverse audiences 
 
Hands-on experience with LLMs, including: developing evaluation frameworks, fine-tuning, prompt engineering, RAG architectures, and AI API integration 
 
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 $212,000 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. Applied AI/ML Engineer, Rights and Pricing - Apple Services Engineering

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