ai software and security engineer

ai/ml engineer, applied data science Jobs in Cupertino

ai/ml engineer, applied data science

data engineer for crowdsourced sensing Jobs in Cupertino

data engineer for crowdsourced sensing

data engineer, find my

data engineer, part dataops Jobs in Cupertino

data engineer, part dataops

data engineer

Apple

Services Finance Data Science and Engineering team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. You will provide a key function in shaping the success of Apple&rsquo;s current and future products. As members of the Services Finance Data Science and Engineering team, we work with various business and engineering teams to understand current and future business initiatives. We need to be persistent and flexible in extracting data from various sources, cleaning and curating this data, and then clearly and concisely communicating insights. 
 
Description 
 
The individual in this role will collaborate with data scientists, business analysts and subject matter experts (SME) to acquire, and transform raw data and develop sophisticated data products. This includes developing and maintaining data pipelines, extracting from different sources (databases, APIs, etc.), and transforming raw data into normalized tables after running data quality checks. A successful data engineer is skilled in taking a business problem and translating it into a data solution in close collaboration with data scientists, business analysts, and SMEs.&quot;,&quot;responsibilities&quot;:&quot;Building and maintaining pipelines to extract data from various external sources (e.g. databases, APIs, etc..) and move data to internal destinations (e.g. Snowflake, Cloud Storage, etc..) 
 
Maintain data dictionary, lineage and documentation 
 
Enhance existing Pipeline monitoring and develop functionality for data observability 
 
Enable Analysts and Tableau developers by curating datasets which are easily accessible 
 
Work with SME to understand the data requirements and to translate business problems into data solutions and products 
 
Monitor the health status of the tables and data pipelines and develop an alerting system for failures and problems 
 
Conduct POCs and test new methods and technologies based on the team needs 
 
Preferred Qualifications 
 
Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc. 
 
Understanding of dimensional modeling, data warehousing concepts, medallion and data lakehouse architectures 
 
Hands-on experience with building ETL process and writing unit tests using DBT or similar tools 
 
Minimum Qualifications 
 
Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines 
 
Advanced SQL skills for complex transformations, optimization, and troubleshooting 
 
A Bachelor&rsquo;s degree in Statistics, Computer Science, Computer Engineering, or equivalent practical experience 
 
Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation 
 
Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses 
 
Ability to work both independently and within a team environment 
 
Strong written and verbal communication skills, capable of explaining technical results to a non-technical audience 
 
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 $118,500 and $197,500, 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.

Services Finance Data Engineer

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

The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a data engineer with strong experience in distributed systems, real-time data pipelines, and large-scale telemetry processing to help build the data infrastructure that enables algorithms to operate reliably at a global scale. 
 
Description 
 
In this role, you will design, build, and maintain scalable data pipelines that ingest, process, and transform large volumes of crowdsourced sensor data from heterogeneous mobile and edge devices. You will develop real-time streaming systems, create simulation and replay frameworks, support algorithm experimentation at scale, and ensure data quality across highly dynamic and noisy environments. You will work closely with machine learning engineers, hardware teams, and software engineering partners to architect data flows, optimize end-to-end latency, and deliver robust, production-ready systems that support features deployed on millions of devices worldwide. 
 
Preferred Qualifications 
 
Graduate degree in Computer Science, Data Science, or equivalent experience. 
 
Experience with IoT or mobile-sensing data, including intermittent connectivity and edge-generated telemetry 
 
Experience with time-series data systems, sensor pipelines, or environmental/earth science data 
 
Experience supporting simulation, replay, or regression pipelines for algorithm evaluation 
 
Experience with data-quality frameworks, schema management, and observability tools 
 
Minimum Qualifications 
 
5 years of experience developing data ingestion, transformation, and validation pipelines for noisy or heterogeneous datasets 
 
5 years of experience with cloud or distributed storage systems (S3, HDFS, object stores) and columnar formats (Parquet, ORC) 
 
3 years of experience designing real-time or distributed data pipelines with stream-processing frameworks (Kafka or equivalent) 
 
3 years of experience managing large-scale telemetry or sensor-data systems 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer for Crowdsourced Sensing

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. 
 
Apple is seeking an experienced, detail-minded data engineering team lead to join our Finance Process, Analytics, Reporting &amp; Technology (PART) Data Operations team. You will lead a team of data engineers delivering trustworthy, high-quality data to our Retail Finance analysts. If you are someone who looks forward to solving complex business problems, developing engineering talent, and building reliable data foundations, please reach out to us. 
 
Description 
 
You will lead a team of data engineers to architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions. 
 
We are a growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter who is willing to learn fast, adapt well to changing requirements, develop others, and work with cross functional teams.&quot;,&quot;responsibilities&quot;:&quot;Lead, mentor, and develop a team of data engineers, setting technical standards and fostering a culture of engineering excellence 
 
Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability 
 
Establish and maintain data quality frameworks, including automated validation, monitoring, and alerting 
 
Create data products, enabling self-service and predictability by any consumer 
 
Build libraries and frameworks that drive leverage and productivity for the entire team 
 
Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence 
 
Manage team workload and priorities, balancing competing demands while maintaining quality 
 
Preferred Qualifications 
 
2+ years leading or mentoring other engineers 
 
Expertise in languages like Python and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg, Databricks 
 
Hands-on experience with database design and architecture in cloud data warehouses and lakehouse environments 
 
Ability to analyze complex datasets and design solutions with optimum quality and efficiency 
 
Appreciation for data quality and validation in every pipeline 
 
Familiarity with SDLC best practices, version control, CI/CD 
 
Strong communication skills with the ability to translate between technical and business contexts 
 
Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage 
 
Experience with streaming interfaces and pipelines 
 
Finance and accounting process experience 
 
Minimum Qualifications 
 
6+ years software engineering, including strong SQL and data focus 
 
BS in Engineering / Computer Science 
 
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 $146,300 and $244,100, 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, PART DataOps

Are you excited about using data to shape the experience of products used by hundreds of millions of people around the world? 
 
The Evaluation Data Engineering team, part of Apple&rsquo;s SWE organization, builds the scalable and reliable data platform that powers Siri, Search, and Machine Learning across Apple. 
 
We&rsquo;re looking for collaborative and mission-driven software engineers who care deeply about data quality, user impact, and building at scale. 
 
If you&rsquo;re passionate about tackling complex data challenges, eager to work with petabytes of data, and inspired by Apple&rsquo;s commitment to privacy and innovation, we&rsquo;d love to hear from you. 
 
Description 
 
In this role, you&rsquo;ll work cross-functionally across product and data science teams to build large-scale stream and batch processing data pipelines that power Analytics, Experimentation, and Machine Learning. 
 
You will design a unified and groundbreaking data processing framework using Flink, and/or Spark. 
 
Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework&rsquo;s capabilities to new user scenarios and groundbreaking machine learning applications. 
 
You will collaborate closely with Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation. 
 
You&rsquo;ll automate dataset lifecycles with strong quality standards and help partners confidently use the data for product insights. 
 
Preferred Qualifications 
 
Strong in algorithms, data structures, data modeling, and SQL, with experience working on large-scale, complex, and high-dimensional datasets. 
 
Experience with machine learning algorithms or pipelines, particularly in the context of data engineering. 
 
Experience supporting ML engineers or data scientists with feature engineering or model data pipelines is a plus. 
 
Familiarity with testing tools and methodologies for validating large-scale, distributed data systems (e.g., data quality checks, pipeline testing frameworks, fault tolerance testing). 
 
Proven software engineering fundamentals, including experience with design, testing, version control, and CI/CD best practices. 
 
Comfortable working independently in a fast-paced, ambiguous environment. 
 
Excellent communication and problem-solving skills. 
 
Minimum Qualifications 
 
7+ years of experience designing, building, and maintaining distributed data processing systems at scale. 
 
5+ years of hands-on experience with stream and/or batch processing technologies such as Flink, Spark, Kafka, Airflow, Iceberg, and Trino. 
 
2-3 years of experience in full-stack development 
 
Proficient in at least one modern programming language (e.g., Java, Scala, and Python). 
 
MS or BS in Computer Science, Engineering, Math, Statistics, or a related field, or equivalent practical experience in data engineering. 
 
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 - Sr Software Data Engineer, Evaluation

As part of the work on machine-generated dialog we are developing novel measurements of its quality. These include cutting-edge llm-judges for aspects like groundedness (lack of hallucinations), Siri Tone and Style (a suite of Design requirements), Safety, and others. 
 
Description 
 
To measure our progress on this front, we need to track the state of our dataset composition, accuracy of llm-judges, human expert review results in a central and visual representation. A DRI for Metrics and Reporting will:&quot;,&quot;responsibilities&quot;:&quot;Build an easy to use dashboard for our datasets - requires integration with other teams 
 
Build dashboards to visualize our status 
 
Help define useful metrics 
 
Build tools to facilitate processing of human review results (inter-annotator agreement, storage, selection of the most useful data points for human expert review) 
 
Build tools and pipelines to streamline quality measurement processes 
 
Preferred Qualifications 
 
Experience with writing and architecting production level code 
 
Deep understanding of Machine Learning concepts 
 
Experience in Model training and/or evaluation 
 
Good engineering practices to create sustainable and easy to use metric reporting pipelines 
 
Attunement to computational linguistics, language quality is a plus 
 
Minimum Qualifications 
 
M.S. or Ph.D. in Computer Science, Data Science, Data Engineering 
 
3+ years in data-science and/or data-engineering (iceberg, pandas python, Tableau or equivalent, data collection and visualization) 
 
2+ years of python coding 
 
Good understanding of metrics, crowd science, annotation analysis, statistics 
 
Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines 
 
Excellent communication skills and the ability to thrive in a highly collaborative work environment 
 
Good engineering practices to create sustainable and easy to use metric reporting pipelines 
 
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. Data Science Engineer, Siri Core Modeling

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

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