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senior ios software engineer

Apple

The Wallet Apps &amp; Frameworks team is the place to be if you're passionate about working on incredible technology that is used by millions of people every day. Will you help us design the next generation of revolutionary Apple products? As part of Apple's team, you will help build the coolest next generation products in the world. If you're determined, curious, motivated, and you want to make an impact, we'd love to hear from you. 
 
The Wallet Apps &amp; Frameworks team is looking for hardworking software developers to join our growing team! Wallet allows you to collect your boarding passes, event tickets, coupons, and more, all in one place. It&rsquo;s also the home for Apple Pay, the easiest and most convenient way to pay in stores, apps, and on the web. Join us and work on an exciting roadmap of features that change the lives of people around the world. 
 
Description 
 
As an engineer on our team, your responsibilities will range from high-level user interfaces, to writing background processing and networking code, to developing frameworks used by other teams at Apple and third party developers. We collaborate closely with the other iOS engineering teams, human interface designers, diverse groups across Apple, and our partners at other companies. We work on challenging projects and complex problems. We're successful when we deliver novel solutions that surprise and delight our users. You will also deliver the best possible application performance including fast launch times and smooth scrolling. Our goals are simple but the task is large; build the most amazing products in the world that our customers will love. 
 
Preferred Qualifications 
 
OS programming experience 
 
Swift, Objective-C and/or C++ experience 
 
Core Animation experience 
 
Familiarity with NFC and related technologies 
 
Understanding of security, digital signatures, and PKI 
 
Performance analysis including Instruments 
 
BS or MS in Computer Science, related technical field or equivalent experience 
 
Minimum Qualifications 
 
Significant experience as senior technical leader developing feature rich platform native mobile or desktop applications 
 
8+ years of experience building software solutions (frameworks, UI) for iOS or macOS 
 
Excellent communication and collaborative skills 
 
Passion for product quality and attention to detail 
 
Excellent understanding of optimization and performance issues across software layers 
 
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 $201,300 and $302,200, 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 iOS Software Engineer

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

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. 
 
Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! 
 
You'll have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You'll drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. 
 
You've, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You'll lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You'll have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success. 
 
Description 
 
Matching at Ads is a critical component of our Ads funnel and responsible for ensuring that we are retrieving relevant and engaging Ads for our users. We are building the next generation of our retrieval systems to sustain the growth of the business for the future. We are looking for a Machine Learning Engineer that will develop the algorithms for our retrieval system. 
 
In this role you will drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads, and formulate approaches to greenfield product opportunities. You will own end-to-end the ideation, development, testing and productization of these algorithms. You will work with complex problems in the ads retrieval space, provide solution that adhere to Apple&rsquo;s privacy principles, review and contribute to state of the art in research, work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities. This role will work closely with organizational partners and be expected to present findings across the organization. 
 
Preferred Qualifications 
 
7+ years of experience building machine learning capabilities across many different product areas at scale. 
 
PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry. 
 
Minimum Qualifications 
 
4+ years of experience building machine learning capabilities across many different product areas at scale. 
 
Proven experience in NLP, information retrieval and search. 
 
Ability to apply and implement research concepts, ultimately in production quality code. 
 
Experience defining clear, testable research hypotheses, including intended impact on the business. 
 
Deep understanding of design of experiments, online experimentation approaches, preferably at scale. 
 
Experience contributing and/or reviewing research for top conferences and publications. 
 
Master's, or equivalent experience, in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry. 
 
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 $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.

Senior Machine Learning Engineer - Matching, Apple Ads

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
Description 
 
As a Data Site Reliability Engineer in Apple Ads, you will focus on designing, building, and managing cloud-based systems and infrastructure that stores, process, transforms and analyzes large datasets. You will ensure data and corresponding infrastructure is accessible, reliable, and secure within the cloud environment, working with various Apple Internal and 3rd party cloud providers like AWS.&quot;,&quot;responsibilities&quot;:&quot;Your high-level responsibilities will include: 
 
Design, build and manage large scale distributed data systems on AWS using services such as EMR, EKS, MSK. 
 
Design and develop internal tooling and automation frameworks to improve data infrastructure reliability, cost-efficiency, and operational visibility. 
 
Collaborate with cross-functional engineering teams like advertising, machine learning and data platforms to define infrastructure architecture, troubleshoot complex issues, and drive production excellence. 
 
Lead initiatives to eliminate toil via automation, improve efficiency and scalable deployment patterns. 
 
Contribute to strategic decision making related to adoption of a multi-cloud echo system to maintain operational excellence on the current stack while still enabling the path for future innovation. 
 
Preferred Qualifications 
 
Proven experience as a committer to open-source projects like Apache Spark, Flink, etc 
 
Track record of driving automation, cost optimization and performance tuning at scale for data systems. 
 
Experience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency is a plus. 
 
Experience driving adoption of new technologies and influencing designing of systems. 
 
Strong programming skills on object-oriented, functional or procedural programming languages, preferably Java / Scala / Kotlin / Python 
 
Experience designing and managing Infrastructure as Code with Helm and CRD, ensuring repeatable, secure, and scalable deployments. 
 
Minimum Qualifications 
 
5+ years of experience in Site Reliability Engineering with a strong focus on building, scaling and operating cloud based distributed data systems. 
 
Proven expertise running cloud infrastructure built on managed services offered by cloud providers like AWS 
 
Strong technical grasp and experience working on Open Source technologies designed for large scale data processing, like Apache Spark, Flink, Kafka, Iceberg, etc. 
 
Big Data processing and storage systems (streaming and batch) 
 
Strong expertise and experience with container orchestration systems like Kubernetes 
 
Experience designing, analyzing and troubleshooting large-scale distributed 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.

Senior Site Reliability Engineer (SRE), Data - Apple Ads

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing big-data platforms using creative algorithms to process petabytes of data with very low latency? Are you passionate about Cloud Technologies, have a proven track record in designing and implementing scalable solutions, love solving complex challenges and thrive in a collaborative team environment? If so, join Apple Services Engineering (ASE) Data Platform team to design and build a scalable big-data platform that is used across Apple. As part of Apple Services Engineering (ASE), you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem-solving. By focusing on and respecting the customer's needs, you'll be responsible for helping us build the technology that works for so many customers around the world. We are looking for engineers who are passionate about crafting big-data products. This role requires a deep understanding of developing products that are highly scalable, highly available, and fully fault tolerant. 
 
Description 
 
As part of the Data Platform team, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of online events and queries daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are building and supporting critical infrastructure and frameworks that provide and support services like structured and unstructured storage, caching, queueing, searching, and much more. We are looking for a strong, enthusiastic developer to join as a member of this group. You will have a tremendous amount of individual responsibility and influence over the direction of critical services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity.&quot;,&quot;responsibilities&quot;:&quot;Design, develop, and deploy large-scale data processing frameworks and applications on cloud-based infrastructure such as AWS and GCP. 
 
Build and maintain highly reliable, distributed systems using programming languages such as Go, Java, and Scala, 
 
Develop and manage infrastructure through Infrastructure as Code (IaC) tools such as Pulumi and Crossplane. 
 
Collaborate with cross-functional teams to integrate cloud infrastructure solutions into data platform products and services. 
 
Implement and manage containerization and orchestration technologies, including Docker and Kubernetes. 
 
Architect large-scale, complex applications with strong runtime performance, including low latency, fault tolerance, and high availability. 
 
Contribute to the full lifecycle of system design, ensuring scalability, reliability, and maintainability. 
 
Preferred Qualifications 
 
Experience engineering modern Analytics and Data technologies like Spark, Flink, Iceberg, Trino, Jupyter, Druid, etc. at scale is a plus 
 
Experience with contribution to Open Source projects is a plus 
 
Minimum Qualifications 
 
5+ years experience designing, developing, and deploying large-scale data processing frameworks and applications on cloud-based infrastructure such as AWS, GCP, etc. 
 
Strong programming expertise in Go, Java, Scala, and scripting languages, preferably with critical, large-scale distributed systems. 
 
Proficiency in Infrastructure as Code (IaC) tools. 
 
Experience with containerization and orchestration (e.g., Docker, Kubernetes). 
 
Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and high availability 
 
A learning attitude to continuously improve the self, team, and the organization 
 
Deeply concerned about excellence and quality 
 
Loves fast-paced environment and learning/leveraging new technologies 
 
Bachelor&rsquo;s degree or Masters in Computer Science, Computer Engineering, or equivalent 
 
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.

Senior Software Engineer, Apple Data Platform

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 have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. 
 
As a Computer Vision &amp; Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! 
 
Description 
 
The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. 
 
&quot;,&quot;responsibilities&quot;:&quot;Build state-of-the-art machine learning models to power application features. 
 
Collect model training data, design model architectures, and train custom models suited for application features. 
 
Partner with cross-functional teams to design and implement end-to-end machine learning enabled features to power the next-generation tools for creators. 
 
Drive application features from concept, model design, development and all the way to delivery. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning or related field. 
 
Experience delivering high quality software at scale is a plus. 
 
Familiarity with modern camera ISP and digital image processing algorithms and models is a plus. 
 
Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus. 
 
Strong patent and publication record at top conferences is a plus. 
 
Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. 
 
Knowledge and keen interest in learning the art and science of photography. 
 
Minimum Qualifications 
 
MS Computer Science, Machine Learning or related field, and 2+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies. 
 
Knowledge in theory and practice of computer vision, machine learning and deep learning techniques. 
 
Experience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas. 
 
Hands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods. 
 
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. 
 
Ability to solve everyday problems in innovative ways. 
 
Ability to communicate effectively and collaborate with partner teams. 
 
Committed to encouraging an open and inclusive work environment. 
 
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.

Computer Vision and Machine Learning Engineer, Creativity Apps

Explore 85+ Senior ios software engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.