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applied ai/ml sw software engineer Jobs in Cupertino

applied ai/ml sw software engineer

embedded software engineer, annapurna ml software Jobs in Cupertino

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infrastructure finance, senior cloud technical lead Jobs in Cupertino

principal software engineer - maps search Jobs in Cupertino

senior software engineer

Apple

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

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

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

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

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

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. 
 
On the Tools and Frameworks AI team, you'll work on projects that push the boundaries of what's possible with AI. We're solving problems at the frontier of the field, building tools and capabilities, and figuring out what the next generation of software development looks like. We take these innovations from concept to production, ensuring our work delivers real impact at scale. You'll see your contributions move from early explorations to production systems that users depend on daily. 
 
Description 
 
We're looking for a Senior ML Engineer who can drive AI-powered software development from initial design through production deployment. You'll architect and build machine learning systems that push the boundaries of what's possible in software development, writing production-quality code that scales to meet real-world demands. This role requires both deep technical expertise and strong collaboration skills-you'll work closely with product managers, software engineers, and researchers across the organization to translate ambitious ideas into robust, shipping solutions. You'll be responsible for making critical design decisions, mentoring other engineers, and ensuring our exploratory work successfully transitions into production systems that deliver measurable impact.&quot;,&quot;responsibilities&quot;:&quot;Lead, design and implement AI-first developer productivity projects from prototype to production establishing best software engineering practices. 
 
Own the end-to-end user experience with a strong focus on product quality. 
 
Work cross-functionally with multiple stakeholders at Apple, drive requirements and deliver the end solution. 
 
Be a force-multiplier, by enabling team-members to be more productive. Mentor junior engineers. 
 
Preferred Qualifications 
 
Hands-on experience working on developer productivity AI tools 
 
Full-stack software developer experience with experience building ML infra at scale 
 
Experience leading AI/ML projects 
 
Minimum Qualifications 
 
At least 8 years of hands-on experience in software engineering, with focus on machine learning 
 
Demonstrated expert knowledge of machine learning modeling and applied machine learning research 
 
Strong programming skills in: Python, Java, C++ or Swift 
 
Track record of delivering high quality products and solving complex problems in innovative ways 
 
Thrive in a collaborative environment and communicate clearly and confidently with partner teams 
 
Masters OR PhD in Computer Science, Machine Learning Engineering or equivalent professional 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.

Sr. Machine Learning Engineer, Tools and Framework AI

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 pros and enthusiasts alike. 
 
As a Senior Computer Vision &amp; Machine Learning Engineer, you will work 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 
 
We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. 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;Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple's products 
 
Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale 
 
Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs 
 
Communicate the latest research developments in image generation to help drive the long-term product roadmap 
 
Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products 
 
Preferred Qualifications 
 
Experience optimizing models and algorithms that run efficiently on resource-constrained platforms is a plus. 
 
Experience with flow matching and multi-modal conditioning for generative modeling is a plus. 
 
Familiarity with 3D reconstruction techniques from single or multiple images, particularly ML-based methods, is a plus. 
 
Knowledge of and keen interest in the art and science of photography and aesthetics. 
 
Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) is a plus. 
 
Minimum Qualifications 
 
MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. 
 
Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly diffusion models, variational auto-encoders and transformers. 
 
Experience delivering customer-facing products with computer vision, computational photography or generative AI features. 
 
Hands-on experience building, training, evaluating, and deploying diffusion, transformer and Generative Adversarial Network based models, or related methods. 
 
Experience contributing to large codebases while delivering high-quality software at scale. 
 
Strong programming skills in high-level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow. 
 
Ability to collaborate effectively across organizations and drive alignment in large cross-functional projects. 
 
Ability to concisely communicate with audiences of different backgrounds, from non-technical individuals to experts in the field. 
 
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 $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 Computer Vision and Machine Learning Engineer, Creativity Apps

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