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Northbound DGS

Job Overview We are seeking a dynamic and detail-oriented SDET/Android Engineer to join our innovative software testing team. In this role, you will be responsible for designing, developing, and executing comprehensive test strategies for mobile applications on Android and iOS platforms. Your expertise will ensure the delivery of high-quality, reliable mobile solutions by automating test cases, performing system and performance testing, and collaborating closely with development teams. This position offers an exciting opportunity to influence product quality in a fast-paced environment while utilizing cutting-edge testing tools and methodologies.Duties<ul><li>Develop and maintain automated test scripts using tools such as Selenium, TestNG, JUnit, Cucumber, and Appium for Android and iOS applications.</li><li>Design and execute functional, regression, performance, load, and user acceptance tests to validate mobile app features across multiple devices and operating systems.</li><li>Collaborate with developers to understand application architecture, APIs (RESTful services), and backend systems like MySQL, Oracle, SQL Server, MongoDB, and PL/SQL to ensure comprehensive test coverage.</li><li>Perform root cause analysis on defects identified during testing phases; troubleshoot issues related to mobile applications, network connectivity, or system integration.</li><li>Integrate automated tests into CI/CD pipelines using Jenkins, GitLab, GitHub, Azure DevOps (TFS), or similar tools to facilitate continuous testing and deployment workflows.</li><li>Conduct system testing in various environments including Windows, Linux, and cloud platforms such as AWS or Azure; participate in requirements gathering and review sessions to refine test cases.</li><li>Generate detailed test reports and documentation; communicate findings clearly to stakeholders; support release management activities ensuring quality standards are met.</li></ul>Requirements<ul><li>Proven experience in mobile testing with a focus on Android applications; familiarity with iOS testing is a plus.</li><li>Strong proficiency in test automation frameworks such as Selenium WebDriver, Appium, TestNG, JUnit, Cucumber (BDD), and scripting languages like Python or JavaScript.</li><li>Solid understanding of SDLC (Software Development Life Cycle), Agile methodologies (Scrum/Kanban), Waterfall processes, and requirements gathering practices.</li><li>Hands-on experience with RESTful APIs using tools like Postman or SoapUI; ability to perform API testing with scripting skills for automation.</li><li>Knowledge of version control systems including GitHub, GitLab, SVN; experience with build tools like Maven or Ant.</li><li>Familiarity with performance testing tools such as LoadRunner or JMeter; understanding of system performance metrics and troubleshooting techniques.</li><li>Working knowledge of databases including MySQL, Microsoft SQL Server, Oracle DB2; ability to write complex SQL queries for data validation.</li><li>Experience with DevOps practices including CI/CD pipelines; familiarity with Jenkins or Azure DevOps for automated build/test deployment processes.</li><li>Strong analytical skills for data analysis and root cause investigation; excellent problem-solving abilities related to software troubleshooting.</li><li>Effective communication skills to collaborate across cross-functional teams; ability to document test cases thoroughly and support user acceptance testing (UAT). Join us if you're passionate about elevating mobile app quality through innovative testing strategies! We value proactive problem solvers who thrive in collaborative environments dedicated to delivering exceptional user experiences through rigorous quality assurance practices.</li></ul>Pay: $55.00 - $60.00 per hourBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Vision insurance</li></ul>Experience:<ul><li>Test automation: 3 years (Required)</li></ul>Work Location: In person

SDET/Android

Apple

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 Test Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate team to ensure the highest quality for our shared mission. You'll be instrumental in designing and executing test strategies for 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 ensure the reliability and performance of Find My. 
 
This role will focus on driving, validating, and delivering test solutions. A successful candidate will have the opportunity to develop critically important test solutions that directly impact the quality of our consumer facing applications. In this role, you will be responsible for planning, designing, writing, maintaining and performing end-end test cases (manual and automation). You will drive all aspects of quality and process improvements to help the team ensure that our features are rock-solid and ready to be released to our customers. Reporting bugs with outstanding isolation and regression techniques will be the key to your success. This role also requires balancing a wide variety of deliverables that will rely on your talent for managing priorities and communicating progress and risks effectively and systematically. You will not only dive deep into solving complex problems, but you will also work closely with partners in various disciplines across the company. 
 
Preferred Qualifications 
 
1+ years of experience in Automation. 
 
Programming experience in Java, Python, or JavaScript. 
 
Experience in Swift/SwiftUI or Objective-C development in test skills. 
 
Self directed, analytical and work well in a large cross-functional environment 
 
Passionate about learning new skills and technologies quickly and independently. 
 
Proficient in resolving complex failures using advanced debugging techniques. 
 
Motivated by solving complex challenges. 
 
Good understanding of the software development lifecycle. 
 
Strong time management and multitasking skills. 
 
Self-starter with leadership capabilities. 
 
Familiarity with quality engineering environments and test data pipelines. 
 
Familiarity with Docker and microservices architecture. 
 
Security testing knowledge (API security best practices). 
 
Build and enhance API automation frameworks from scratch. 
 
Experience using Apple's automation framework: XCTest, XCUI. 
 
Familiarity with Docker and microservices architecture. 
 
Security testing knowledge (API security best practices). 
 
Minimum Qualifications 
 
1+ years of experience in Quality Engineering. 
 
Understanding of unit, integration, and regression test methodologies. 
 
Experience working with Apple devices (iPhone, iPad, Mac, Watch etc.). 
 
Work within strict deadlines 
 
Collect, analyze, and present results at regular cadence 
 
Proactive at navigating a dynamic environment 
 
Strong interpersonal and communication skills for collaborating across many participating teams. 
 
Strong problem solving and debugging skills along with a diligent mindset 
 
BS in Computer Science 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 $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Developer in Test, Find My

Apple's Trusted Execution team in Security Engineering and Architecture builds the security technologies that protect every Apple product at the point of code execution. Our work is the first line of defense in Apple's defense-in-depth strategy, well known in the security community, and constantly evolving. We're a small team with a huge impact. 
 
As an engineer joining this team, you would help ensure the integrity of the systems that control what software is authorized to run on Apple hardware - and under what circumstances. These systems span client devices, server infrastructure, and hardware security modules, and your work will require understanding how they interact to enforce security policy end-to-end. You will analyze these systems for security gaps, help define and enforce authorization policies, and build automation and analytics to strengthen oversight and detect anomalies. 
 
Successful candidates will be versatile software engineers with a security mindset - able to reason about complex systems, identify threats, and build the right solution whether that means writing a security analysis, automating a process, or contributing code to the operating system. Our environment fosters product innovation, rapid iteration, and the autonomy and support to do your best work. The position will require you to collaborate with and influence teams from several organizations across Apple. As you grow in the role, there will be opportunities to work deeper in the stack, contributing to the operating system security technologies that run on every Apple device. If you have an interest or background in this area, we'd love to hear from you. 
 
Description 
 
Help secure the systems that manage software authorization across Apple's product line. Analyze the security properties of complex, multi-component systems and identify opportunities to strengthen them. Participate in threat modeling and security review of authorization workflows, policies, and access controls. Build automation and analytics to provide continuous security oversight and surface anomalies. Contribute to the design of new authorization strategies that leverage device hardware capabilities and security infrastructure. Work cooperatively with software, hardware, factory, and server teams on technologies and initiatives to improve security and drive the adoption of these technologies across the organization. 
 
Preferred Qualifications 
 
Experience with security analysis, threat modeling, or security architecture review 
 
Familiarity with applied cryptography concepts (PKI, digital signatures, attestations) 
 
Understanding of operating systems internals or systems programming 
 
Knowledge of access control principles, including least privilege and role-based access 
 
Experience building data pipelines, analytics, or anomaly detection systems 
 
Experience building internal tools, dashboards, or productivity automation 
 
Self-directed learner who can navigate unfamiliar systems, codebases, and technology stacks - including legacy tools and languages - to get the job done 
 
A passion for building pragmatic security solutions and a curiosity to go deeper into the stack 
 
Minimum Qualifications 
 
BS in Computer Science, Information Security, or equivalent practical experience 
 
Demonstrated ability to learn and reason about complex systems and their security properties 
 
Programming proficiency in Python and at least one systems programming language (C, C++, Objective-C, or Swift) 
 
Strong communication skills, with the ability to work across teams to drive security outcomes 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Engineer, Trusted Execution (Security Systems)

Apple&rsquo;s Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users. 
 
Description 
 
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.&quot;,&quot;responsibilities&quot;:&quot;Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization 
 
Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development 
 
Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements 
 
Optimize algorithms for robustness, efficiency, and on-device deployment constraints 
 
Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product 
 
Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements 
 
Preferred Qualifications 
 
Experience developing algorithms for physiological sensing using multi-modal data 
 
Familiarity with on-device ML frameworks or resource-constrained optimization 
 
Experience working with incomplete, noisy, or limited datasets 
 
Background in experimental design and statistical validation 
 
Experience with distributed or cloud-based ML workflows 
 
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches 
 
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience. 
 
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems 
 
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation 
 
Proficiency in Python for algorithm development and optimization 
 
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results 
 
Experience owning algorithm development from early exploration through validation and 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 $139,500 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.

Machine Learning Engineer

<div>As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they&rsquo;ve never before envisioned. In this highly visible role, you will be responsible for SOC power optimization automation, power modeling, and simulation. 
 
Description 
 
The main responsibility of this role is to drive the automation for SOC power optimization. 
 
<ul><li>Working with SOC power team members to automate the power analysis and optimization tasks</li></ul> 
<ul><li>Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs</li></ul> 
<ul><li>Explore machine learning approaches to optimize SOC power, work with team members on training data preparation, research ML based solution for power simulation, optimization and modeling.</li></ul> 
<ul><li>Collaborate cross-functional teams to deploy the power optimization automation to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.</li></ul> 

Preferred Qualifications 
 
MSEE preferred 
 
Familiarity with machine learning algorithms and programming 
 
Familiarity with scripting in Python. 
 
Familiarity with ASIC power analysis and optimization 
 
Familiarity with SOC design flow and methodology 
 
Familiarity with Verilog and System Verilog. 
 
Familiarity computer architecture, logic and circuits design 
 
Familiarity signal processing is a plus 
 
Silicon power measurement experience is a plus 
 
SOC power modeling, low power design and power optimization experience is a plus 
 
Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups 
 
Minimum Qualifications 
 
A minimum of a bachelor's degree in related field 
 
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 $126,800 and $190,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

SoC Power Analysis and Optimization Engineer

The Intelligence Platform team empowers clients across Apple&rsquo;s operating systems with a high quality user-centric search and data platform, and the primary inference platform that enable next generation user experiences for Apple Intelligence. We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary role will involve working with our cross-functional teams that build foundation models, as well as our client teams that want to run inference using these models and continue the development of our inference stack. By contributing to our team, you&rsquo;ll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms. Join us in our exciting journey as we push the frontiers of Machine Learning and Generative AI. Your expertise and contributions will be invaluable in shaping the future of our Intelligence Platform. 
 
Description 
 
As a Machine Learning Engineer on the Apple Intelligence Platform Inference Tean, you&rsquo;ll join a phenomenal team of top-performing engineers and and will be entrusted with a range of responsibilities. Your tasks will include: 
 
Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields. 
 
Translating the latest research into high-performing systems and a model serving stack that can be practically applied to enhance user experiences. 
 
Contribute to setting the team&rsquo;s strategic direction, cultivating an environment that encourages innovation and professional growth. 
 
Collaborating with various teams to develop and implement evolving requirements of our clients on the GenAI inference stack, ensuring performance optimization and alignment with broader business goals. 
 
Preferred Qualifications 
 
An advanced degree (Master&rsquo;s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required 
 
Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected. 
 
Minimum Qualifications 
 
In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI. 
 
Published research in the field of Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research. 
 
Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications. 
 
Proven problem-solving and leadership abilities, with the capacity to steer the team&rsquo;s research and practical applications in a collaborative and fast-paced 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.

Machine Learning Engineer - Large Language Models & Generative AI Inference

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
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.

AIML - Machine Learning Engineer, Data and ML Innovation

Explore 58+ Automation engineer in Cupertino this April. Find roles across top companies and apply now to boost your career.