Engineering Technician jobs at Apple

Apple is looking for a world class module design engineer to lead the design, development and qualification activities of the next generation display technology and products. This individual will serve as a focal point in managing new display technology development and drive the implementation of critical technology platforms to improve display performance, from design conception to hardware and experience prototyping, and to final products. You will be involved in system modeling to assist in design and validation. You will work with a diverse and multidisciplinary group of very hardworking colleagues. You will be a directly responsible individual and collaborate with multi-functional teams and suppliers to understand design tolerance and sensitivities, optimize system-level performance based on critical metrics, and validate system designs through engineering builds and design of experiments. A successful candidate needs to be comfortable with new technology, a flexible problem solver, meticulous in attention to detail, highly independent, and motivated to get results. You should be able to tackle problems outside of your respective technical area, have strong presentation and communication skills, and thrive in a hands-on environment that values engineering excellence and innovation. You will be part of something big; come join us! Expertise in light source technology (eg mini-LEDs, micro-LEDs) Experience developing and executing comprehensive test plans for optical system Familiarity with color science, color calibration, and display/lighting metrology standards Experience taking a hardware product from concept through to mass production Experience in building compelling hardware or experience prototypes Strong presentation and communication skills An eagerness to take on new challenges, learn new skills, and continually develop by staying open-minded u0026 curious. Strong sense of personal ownership, with the ability to comprehensively handle tasks from start to finish independently BS and a minimum of 10 years relevant industry experience Proficiency in optical design and simulation software for illumination (e.g., LightTools, Zemax OpticStudio Non-Sequential, Speos) Proficiency with a data analysis and scripting language (e.g., MATLAB, Python, JMP) for modeling, simulation, and test automation Hands-on experience with lab equipment for optical characterization (e.g., spectrometers, imaging colorimeters, goniophotometers)

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Privacy Engineer, Technical Audit Responsibilities: 1. Play a key role in driving code and architecture reviews as well as large cross-company privacy reviews of products and features. 2. Conduct technical reviews for new features and identify privacy concerns. 3. Work closely with technical and non-technical teams, including Engineering, Product and Legal. 4. Provide product teams with the guidance and best practices to help protect user's privacy and mitigate any risk. 5. Work closely with Security and Privacy leaders to help define goals that are properly aligned to company-wide goals. 6. Define and articulate a clear vision for privacy, and influence leaders across all of Facebook to adopt a balanced view of product and privacy goals in overall decision-making. **Minimum Qualifications:** Minimum Qualifications: 7. Master's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or related field and 3 years of work experience in the job offered or in a computer related occupation 8. Requires 3 years of experience in the following: 9. Coding in Python, PHP, Java, or C/C++ including code maintenance and review 10. Building software applications with secure features 11. Communicating technical issues and their implications to other areas of the business 12. Ability to analyze and implement complex systems 13. Experience applying security/privacy preserving technologies, including but not limited to anonymization, encryption, and access management 14. Has an understanding of software engineering best practices such as security/privacy by design as applicable to their role 15. Knowledge of data protection principles and best practices 16. Ability to conduct impact assessments and identify security/privacy risks 17. Strong analytical and problem-solving skills 18. Strong written and verbal communication skills and 19. Experience in working with cross-functional teams and collaborating with stakeholders **Public Compensation:** $224,197/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Meta, we're building innovative products that make it easier for people to connect with each other and enjoy immersive experiences. Our team of world-class experts is developing and shipping products at the intersection of hardware, software, and content, pushing the future of computing platforms and redefining the way people work, play, and connect. As a Realtime Engine Technology engineer, you'll play a key role in designing and developing real-time interactive software that powers our immersive experiences, enabling seamless and intuitive interactions between users and virtual environments. By joining our team, you'll be at the heart of change and the frontier of what's to come, helping to define the metaverse and shape the future of technology. **Required Skills:** Software Engineer, Realtime Engine Technology - Reality Labs Responsibilities: 1. Develop efficient and reusable systems that drive complex realtime interactive software 2. Build technologies that empower developers to create compelling experiences 3. Optimize and debug real-time systems to ensure smooth performance 4. Set a high quality bar to make our technology easy and delightful for developers to use 5. Engage in depth collaboration with partner teams to drive successful product outcomes **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. 5+ years software development experience in industry settings or PhD with 2+ years of experience 8. 3+ years developing features within 3D real-time interactive products in industry settings 9. Experience with systems programming languages such as C++, Rust, or similar languages 10. Proven problem-solving skills and experience working independently and collaboratively 11. Effective communication and interpersonal skills **Preferred Qualifications:** Preferred Qualifications: 12. Experience building engine-level systems for 3D real-time interactive engines (Unity 3D, Unreal, Frostbite, or other/proprietary) 13. Experience building for virtual reality (Rift, Quest, VIVE, Valve Index, etc.) or mixed/augmented reality (HoloLens, Magic Leap, ARKit, ARCore etc.) 14. Experience developing SDKs or shared technology that balances the needs of multiple shipping products 15. Experience with performance optimization of real-time applications (CPU, GPU, Memory, etc. ) 16. In-depth understanding of one or more real-time engine components ( Rendering, Collision, Physics, Input Processing, Audio, Animation, Networking, etc.) 17. Proven understanding of 3D math, linear algebra and physics **Public Compensation:** $70.67/hour to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Meta, we're building innovative products that make it easier for people to connect with each other and enjoy immersive experiences. Our team of world-class experts is developing and shipping products at the intersection of hardware, software, and content, pushing the future of computing platforms and redefining the way people work, play, and connect. As a Realtime Engine Technology engineer, you'll play a key role in designing and developing real-time interactive software that powers our immersive experiences, enabling seamless and intuitive interactions between users and virtual environments. By joining our team, you'll be at the heart of change and the frontier of what's to come, helping to define the metaverse and shape the future of technology. **Required Skills:** Software Engineer, Realtime Engine Technology - Reality Labs Responsibilities: 1. Architect efficient and reusable systems that drive complex real-time cross-platform applications 2. Build technologies and SDKs that empower developers to create compelling experiences for the Metaverse 3. Expand the reach of our products by integrating Meta's technology into multiple platforms and frameworks **Minimum Qualifications:** Minimum Qualifications: 4. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 5. 2+ years software development experience in industry settings or PhD degree +9 months of experience 6. Experience C++ or similar programming languages 7. Experience creating software for games, real-time systems or other high performance computing environments **Preferred Qualifications:** Preferred Qualifications: 8. Track record of software development, including shipping one or more products using standard software development toolsets such as source control and continuous integration systems 9. Applied mathematical, problem solving and optimization experience 10. Communication experience and demonstrated experience working across disciplines to drive optimal solutions 11. Experience in creating and adding new features to real-time game engines 12. Experience in building games or game engines for mobile applications **Public Compensation:** $56.25/hour to $173,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Full Stack Web Engineer to join our dynamic team. You'll play a key role in designing, developing, and maintaining scalable web applications and services. The ideal candidate has a strong background in JavaScript, React, GraphQL, REST APIs, and micro-services. This candidate should have a deep understanding of building modern, high-performing applications end-to-end. You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. You'll team up with UX designers and backend engineers to create intuitive user flows and compelling web applications. Advance degrees in Computer Science, engineering, or a related field Familiarity with testing frameworks such as Jest or Playwright Experience with micro-services architecture, best practices for distributed systems Bachelors in Computer Science, engineering, or a related field Proficiency in JavaScript and front-end frameworks such as React Proven record of building responsive and scalable web applications Experience with GraphQL and RESTful API design Solid understanding of software engineering principles and design patterns Strong communication skills and ability to work in a collaborative environment

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: MLE PhD Intern plays a critical role in ensuring PayPal's adherence to a complex and evolving landscape of local and global regulations. By leveraging advanced machine learning, cutting-edge research, and data-driven insights, we design innovative solutions that streamline compliance processes, strengthen risk mitigation, and empower PayPal to deliver a secure, trusted, and seamless financial experience worldwide. Job Description: Key Responsibilities: Gain hands-on experience working on real-world large language model (LLM) and machine learning projects within the domains of commerce, personalization, recommendation, and user behavior understanding. Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling. Collaborate with experienced engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions. Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems. Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability. Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications. Network with talented professionals and gain valuable insights into the world of financial technology, personalization, and applied machine learning. Basic Requirements: Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning). Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, prompt engineering, or embeddings-based retrieval. Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Experience with data analysis, cleaning, and wrangling. Excellent communication, collaboration, and problem-solving skills. A passion for learning and exploring new technologies. Highly motivated and proactive with a strong work ethic. Basic Requirements Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a related field. Strong theoretical foundation in ML algorithms, optimization, and statistical learning theory. Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience conducting independent research, with publications in relevant ML/AI conferences or journals (preferred). Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences. Highly motivated, curious, and proactive in exploring new research directions. Program Information and Requirements This is a Summer 2026 PhD Internship (Spring and Fall sessions are not available). Must be enrolled in a PhD program at an accredited university, returning to studies after the internship. Must reside in the U.S. during the program. Must be authorized to work in the U.S. for the duration of the internship. Additional Responsibilities & Preferred Qualifications: PayPal is committed to fair and equitable compensation practices. Actual compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ******************************* The U.S. national hourly pay range for this role is $66/hour. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit ************************************ For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ******************************* Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ****************************************. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Our client, a top healthcare company, seeks a Tech Lead (Data Engineering), which involves designing, building, and optimizing scalable data architectures and processes to enable efficient data utilization and data-driven decision-making. The ideal candidate will combine deep technical expertise with strong leadership skills to deliver best-in-class data engineering solutions, drive process improvements, and mentor junior team members in a high-performing environment. This is a contractual position through the end of 2026. The client prefers that the candidate to be nearby the greater San Francisco area, but they will consider all profiles from the Pacific and Mountain time zones. The Role. Oversee the design and implementation of robust, scalable, and high-performance data systems that align with organizational goals. Collaborate with cross-functional stakeholders to understand data requirements and translate them into effective architecture and engineering solutions. Develop and manage software processes enabling seamless data movement across data warehouses, data lakes, and internal systems. Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality, reliable data for various stakeholders. Build and maintain data ingestion frameworks, data quality controls, and integrated audit systems. Implement and uphold data governance practices to ensure data accuracy, integrity, and security. Perform data analysis and communicate findings and actionable insights to business and technical teams. Serve as a technical authority on data engineering best practices, staying current with emerging tools and methodologies. Provide mentorship and leadership to junior Data Engineers, fostering knowledge sharing and skill development. Drive continuous improvement in data engineering processes, standards, and team capabilities. Support collaboration across technical and business units to promote a data-driven culture. Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field. 5+ years of hands-on experience in data engineering with a proven track record of designing and implementing scalable, high-performance data systems. Proficiency in DBT, Python, PySpark, Redshift, Snowflake, and Talend for ETL and data pipeline development. Strong understanding of data warehousing concepts and cloud-based data platforms (AWS). Expertise in ETL design, data modelling, and database management. Strong problem-solving, analytical, and critical-thinking abilities. Demonstrated experience leading small technical teams and mentoring engineers. Excellent communication and collaboration skills, with the ability to work across business and technical functions. Preferred Qualifications. Experience working in healthcare data ecosystems or regulated industries. AWS Data Analytics or Solutions Architect certification. Knowledge of DevOps and CI/CD practices for data engineering. Familiarity with data governance frameworks and compliance standards (HIPAA, PHI).

In this role, you'll be involved in various electromagnetic (EM) design and technology projects that focus on EMC/ESD/EMI/RFE (RF Exposure) to achieve the best-in-class EM performance for Apple products. Imagine the impact you could make here! At Apple, new ideas quickly transform into products, services, and customer experiences. Every day, people at Apple accomplish incredible things. Are you ready to contribute to billions of users by developing an extraordinary product that prioritizes accuracy, understandability, and performance? You'll join a hands-on development team that drives engineering perfection, creativity, and innovation. Dynamic, inspiring people and innovative technologies are the norm here. If you're a resourceful engineer with a passion for researching and developing solutions that don't yet exist, we want you to join our team. Bring your passion and dedication, and there's no telling what you could accomplish. In this role, you'll collaborate with cross-functional teams to address complex EMC/ESD/EMI/RFE challenges. You'll conduct EM simulations on various topics to aid in the development of cutting-edge consumer electronics products. We're seeking an individual who consistently seeks new knowledge, possesses self-starting qualities, and can work independently with remarkable success. Additionally, we value someone passionate about solving novel and challenging problems through innovative solutions. PhD in EMC or EM related field 5+ years of experience with EM simulation software such as CST, ANSYS, EMCoS, and/or COMSOL. Experience with integrating AI tools in simulation workflows. Ability to navigate through ambiguity and break down complex problems into simplified and manageable parts Knowledge of wireless power transfer systems and regulatory RF exposure standards MSEE in an EMC or EM-related field 3+ years of experience with EM simulation software such as CST, ANSYS, EMCoS, and/or COMSOL. Deep understanding of EM physics in the areas of EMC, EMI, and/or RFE. Strong analytical and critical thinking skills Excellent written and verbal communications skills Must be highly motivated and must have excellent organizational skills

At Apple, we don't just create products. We create products, services, and experiences that redefine what customers expect and revolutionize entire industries. Join the team that dreams up what's next, and that does everything necessary to make it happen. Bring your passion, dedication and focus, and help invent the future! We are seeking talented Product Managers to join our services teams, working across our world class apps. If you have a strong track record in consumer services to lead the development of new customer experiences and are someone that brings creativity and humility, product sense and analytical skill, leadership and ability to collaborate, we'd love to invite you to apply to this pipeline. Our Product Managers collaborate with other product managers and cross-functional colleagues across content production, business intelligence, data science, marketing, design, and engineering to drive measurable outcomes for app engagement. Our Product Management roles span across Apple Music, Apple TV+, Sports, Maps and more. Define exciting and innovative new features that help customers enjoy our various services across Apple's ecosystem Develop platform, experience and business model innovations that become the future of our service Understand consumption patterns and user journeys on and off platform to create new, engaging experiences Create product roadmap and pursue alignment across business, engineering, design, and project management Write clear and concise product definitions that capture the vision, goals, and key elements of new offerings Work across many teams at Apple to communicate vision and launch products in the most compelling ways Champion evidence-based strategies to grow adoption and engagement

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team. We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It also includes guiding the roadmap of privacy technologies at Apple like differential privacy and private federated learning. In this role you will: - Review features to identify privacy exposures and partner with teams to design mitigations. - Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact. - Communicate privacy risks and potential mitigations to senior leadership to drive decisions. - Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy. - Partner with cryptographers and technical experts in SWE and AIML to develop our roadmap for privacy technologies, and provide guidance to engineers and leaders on the right privacy technology to use when developing new features. Successful candidates will need to have superb communication skills and a passion for protecting privacy. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must. Passion for customer privacy Strong collaboration, communication, interpersonal, and organizational skills Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations Ability to analyze systems' architectures for privacy impact Ability to solve complex problems independently BSCS or equivalent experience Experience with foundation models, including training and evaluation Experience with differential privacy or private federated learning Programming experience

Do you want to join a team that is critical to the success of Apple? Become a part of the responsibility for the data collection (in PetaBytes) and reporting for all of Apple's hardware products around the world. We shape the next generation of customer data solutions by working on cutting-edge technologies and collaborating with talented teams across Apple. Our systems enable Apple engineering and operations teams to build the next ground breaking product. You'll be joining our diverse and talented team to summarize, simplify, and solve complex problems in our global ecosystem. We advance technology by relying on each other's strengths and skills to build something bigger than ourselves. For this reason, team culture is central to our values. We value social skills and integrity as much as technical craft. We are looking for extraordinary engineer with experience building large-scale data platforms, analytic tools and solutions which can help take our environment to the next level. Do you excel in a high-demand setting and exceed expectations, in an environment that requires time-management? The right person will prioritize tasks and complete assignments ahead of schedule. While being a great standout colleague, you will also work independently. As a member of a multi-functional team, you'll have the opportunity to solve challenging software engineering problems across a broad range of Apple manufacturing services Architect and design cloud-native applications using microservices, serverless computing, containers, and APIs. Partner with product owners and business stakeholders to translate requirements into technical designs. Collaborate with DevOps/SRE teams to establish CI/CD pipelines and automated testing for cloud apps. Ensure application performance, scalability, and security in line with enterprise standards. Evaluate new cloud services, frameworks, and tools to accelerate application development. Adjust communication content and style to meet the needs of diverse stakeholders Ensures that different experiences, styles, backgrounds, and perspectives are leveraged appropriately. Strong grasp of microservices, APIs and messaging/streaming (Kafka, Solace, Pub/Sub), and distributed systems. Confirmed understanding of design and development of large scale, high throughput and low latency applications Experience with distributed data processing frameworks like Spark or Flink Experience in handling architectural and design considerations such as performance, scalability, reusability and flexibility issues Hands-on with CI/CD tools and Infrastructure as Code. Understanding of cloud security, identity management, and compliance in application design. Flexibility with a creative approach to problem solving Strong communication and stakeholder management skills. You apply others' diverse experiences, styles, backgrounds, and perspectives to get results You can contribute to a work climate where differences are valued and supported BS or MS in Computer Science preferred; equivalent work experience considered 8+ years of experience in software/application development, with 3+ years in cloud-native application architecture. Proficiency in at least one major programming language (Java, Scala, Python, or Go). Experience with multi-cloud platform (AWS/GCP) development, and related cloud services (e.g. AWS Lambda) Experience with container platforms (Docker, Kubernetes).

Are you a Senior Data Engineer with a passion for very large data sets analytics and can provide solutions to real business problems? Or perhaps you thrive on performing data discovery and creating proof of concepts? Do you want to be part of an energetic team critical to the success of Apple? We are looking for a Senior Data Engineer that can quickly summarize complex problems, and soar in a dynamic, high-energy environment. Your rock solid integrity, teamwork and ability to work independently are valued and encouraged. Having the ability to quantify your decisions, critical thinking and using your gut instinct are all key qualities that make our Analytics Team successful and fun! The Insight Analytics Engineering team serves as Apple's central data manufacturing analytics needs, designing and maintaining enterprise-scale data pipelines and real-time analytics platforms that process petabytes of data daily. We partner with all business functions-from Hardware Engineering. Operations, AppleCare -delivering custom data engineering solutions, self-service analytics tools, and automated reporting systems that enable data-driven decision making. Ability to work with various multi-functional teams to gather input and provide guidance Ability to present information to peers and senior management Ability to bring creative, simple and logical approaches to complex problems Technical minded with the ability to learn new technologies Bachelors/Masters in technical field (math, statistics, engineering, computer science, analytics, or similar) 8+ years of hands-on experience with data analytics in large scale volumes in Cloud environment AWS and GCP. Experience with Spark, SQL, Iceberg, Trino and Big Data systems and tools Programming skills in Scala, Java, Python, Jupyter Notebook

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. At Apple, imagination and ambition come together to shape what's next. Every product we build, every service we design, and every experience we deliver is born from collaboration-making each other's ideas stronger and more impactful. We believe in thinking differently, challenging the status quo, and pushing the boundaries of technology and intelligence to create products that bring joy and change lives for the better. Our strength comes from the diversity of our people and perspectives, and when everyone is included, we do the best work of our lives. If you're bold, curious, and passionate about building best-in-class technology, Apple is the place to not just join something-but to add something. As part of this group, you will develop GenAI search and recommendation application end to end and partner with a lot of engineering teams across Apple. The Partner Adoption team, part of the Machine Learning Platform Technologies organization, is the backbone of onboarding applications to Apple's world-class search and recommendation platform. In this role, you'll work end-to-end on feature and product design across a broad range of Apple services-including Apple Music, TV+, App Store, Books, Games, Podcasts, Siri, and more. As a key member of the team, you'll design and build large-scale server-side functionality while also exploring and delivering cutting-edge GenAI applications and features powered by large language models. You'll partner closely with product, platform, and design teams to bring innovations to life-reaching millions, and even billions, of users worldwide with the reliability and excellence Apple is known for. Familiar with GenAI Applications and popular agentic framework like Langchain and Langgraph Familiar with embedding model and llm serving like Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc. Familiar with very large scale serving system Bachelor's degree or higher in Computer Science or related technical field. 5 year+ industry experience in distributed system and ML Modeling (Search, Recommendation, NLP, Ads, Statistics). Experience with high throughput services particularly at supercomputing scale. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc. Proficient in building and maintaining systems written in modern languages (eg: Golang, Rust, Python)

Do you want to make Apple products more intelligent while preserving user privacy? The AIML Information Intelligence team is building groundbreaking technology for search, recommendation, and privacy-preserving information retrieval. Our work helps deliver seamless, private, and intelligent experiences across Apple devices and services. We are looking for a Backend Infrastructure Engineer to design and scale privacy-aware scalable search and retrieval systems. You will work on distributed infrastructure, advanced encryption-based data access protocols, and machine learning system integration. We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You will have the opportunity to work on large-scale, complex systems with cutting-edge cryptographic techniques, directly impacting Apple's efforts to protect user privacy while enabling intelligent experiences. Experience with search infrastructure Experience with cluster setup / management, monitoring and logging Experience with cryptographic or privacy-preserving computation techniques (e.g., homomorphic encryption, secure computation, or related protocols). Excellent interpersonal skills able to work independently as well as in a team Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning BS, MS, Ph.D. in a related field, or equivalent experience Strong coding skills Strong background in computer science: algorithms and data structures Experience with backend development, code performance tuning and testing Experience with cloud services and Kubernetes Understanding of performance optimization and scalable data processing.

Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should have experience with shipping intelligent features, end-to-end, and from idea to production. You should also have experience in building ML infrastructure to enable others to iterate faster and expertise in certain ML domains (preferably in Gen AI and LLM). You will help find novel solutions for our ML problems and collaborate with all ML teams at Apple to optimize our platform. Are you ready to impact billions of our users? You'll be part of Apple's internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more. Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable. Advance degree Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs A minimum of 3 years as tech lead 8 years of proven experience in machine learning related software engineering, such as: product, infrastructure, frameworks or tools Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (preferred) Proficient in ML training and deployment frameworks, like: Tensorflow, PyTorch, Faster Transformer, TensorRT, vLLM Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, PySpark, SQL Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions Bachelors in Computer Science, related field or equivalent experience

In Places, we don't sit back and let things happen, we make things happen, and we do this in service to all Apple employees and customers. Our team is a diverse and nimble group that manages Apple's corporate and retail workplaces and workplace services. We develop and manage Apple's global real estate portfolio, lead all related capital construction projects, provide outstanding facilities and site services, develop and lead sustainability initiatives to reduce the environmental impact of all Apple facilities, including commute and renewable energy programs, and do everything we can to ensure the health and safety of all Apple personnel, facilities, and customers in our facilities around the world. The Critical Infrastructure Operations (CIO) team supports the operations and performance of Apple's most mission-critical environments. We ensure resilient, safe, and efficient operations for electrical and partner with the team supporting mechanical infrastructure in Apple data centers and technical facilities worldwide. We are seeking an experienced, detail-oriented, and proactive technician to join our team as a Critical Facilities Electrical Technician to support, maintain, and troubleshoot essential infrastructure systems that enable the continuous operations of Apple's global facilities. The Critical Facilities Technician will play a key role in the maintenance and operation of Apple's critical infrastructure systems, ensuring maximum uptime and performance in high-availability environments. They will perform preventative and corrective maintenance, respond to emergency situations, and collaborate closely with cross-functional teams and vendors to ensure the safe and efficient operation of all facility systems. The role will report to the Electrical Systems Manager. Electrical apprentice program or trade school graduate preferred. Demonstrated ability to quickly grasp new technology and complex workflows. Excellent communication and time management skills. Deep understanding of energy management systems and building operations. Unsurpassed customer focus, with a "Can-Do" attitude. Experience coordinating with vendors, suppliers, and cross-functional teams. Ability to provide technical guidance and recommendations under pressure. Strong initiative, flexibility, and a sense of urgency in critical situations. Working knowledge of CMMS, computing platforms including Outlook, Excel, Word, and Mac. 5+ years of experience in a mission-critical facilities environment. Strong knowledge of hyper-scale electrical and mechanical systems. Familiarity with NFPA 70e, OSHA, and other applicable safety standards. Ability to lift 50-75 pounds and work in physically demanding conditions including heights and confined spaces. Willingness to work shifts, be on-call, and respond during emergencies.

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It'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. Are you up for the challenge? Be part of the Hardware Test Engineering (HWTE) team as a Display Metrology Technologist and shape the future of display technology with a cross-disciplinary team that values collaboration, creativity and innovation. You will work on next-generation products with the Display Technology group to develop advanced display calibration and test metrology, identify and resolve design challenges and to deliver innovative Apple products with outstanding user experience. As a Display Metrology Technologist, you will develop objective display metrology solutions for calibration and testing of the display of Apple products during New Product Introduction (NPI) stage with support from cross-functional teams. Participate in FMEA for new display technology during design phase and collaborate with cross-functional teams to build end-to-end calibration and test strategy. Design objective metrology system with good balance of engineering requirements, development cycle time and cost efficiency. Build metrology prototypes to conduct critical validation experiments to prove system design performance. Generate reliable data-driven report that reveal or predict hidden risks and accelerate design convergence for new display architectures. Apply optical modeling, simulation and machine learning to assist data-driven decision making and continuous system improvement. MS or Ph.D in Optics, Physics, Computer Science, Electrical Engineering or related field. Hands-on experience in display or optical metrology development. Proficiency with industrial optical instruments, especially imaging system. Strong problem solving skills with proactive, can-do mindset and able to take initiatives in uncharted zone. Solid understanding of EE principles and their impact on display performance and failure modes. Proven ability to plan, design, and execute experiments under limited resources or incomplete information. Excellent interpersonal and technical communication skills. B.S. Degree in Optics, Physics, Computer Science, Electrical Engineering with 3+ years of relevant industry experience. Experience in developing metrology systems including HW and SW integration, with a strong passion about this field. Solid Knowledge in imaging optics, image processing, display and color science and familiarity with optical metrology tools, e.g. colorimeters, spectrometers, digital camera and light sources. Proficiency in one or more programming languages: Matlab/C++/Lua/Python. Up to 10% domestic + international traveling

The Health Technologies team conceives and proves out exciting new technology for Apple's future products and features. In this role you can be involved in the end-to-end new product development cycle, from proof of concept HW development to factory production - ultimately working to invent, produce, and improve HW technologies that seek to improve human quality of life. In this role, you'll be part of a prototyping and development team collaborating with other teams and experts to create innovative health products and features. As a sensors electrical engineer, your responsibilities will include: defining sensor architectures and specifications to meet feature requirements; designing and building prototype circuits and corresponding test and characterization setups; supporting user studies and data collection; and analyzing lab, study, and factory data. The role also requires heavy collaboration across several disciplines, which is critical to the success of health features. An understanding of sensor physics from the perspective of a main sensing mechanism and as a source of error. This includes common effects such as thermal, strain, optical, etc… An understanding of power integrity and power-distribution networks to enable very low noise design of sensor systems. Able and willing to travel in the future to product manufacturing facilities both domestic and international to provide technical support as needed. Previous experience working on health related projects is a plus An ability to design sensor circuits. This including ability to analyze analog signals and noise for frontend circuits such as amplifiers, filters, and A/D converters. It also includes ability to use schematic capture and PCB layout techniques, encompassing noise optimization, component selection, thermal control, etc. Ability to work on embedded systems. This includes working with designs using microcontrollers, and common communication protocols such as I2C and SPI. It also includes experience developing firmware (C or C++) to enable sensor data collection or streaming. An understanding of statistics and an ability to analyze engineering data. This includes topics on statistical distributions, repeatability, reproducibility, confidence intervals, etc. Ability to bring up, test and characterize sensor systems. This includes debugging firmware, circuit boards (analog and digital signals), and developing scripts. Scripts enable interfacing with prototype hardware and the automation of lab setups (e.g. Python or Matlab). Should thrive in fast-paced environment, be highly organized, and be able to multitask. Excellent communication, and interpersonal skills. Demonstrated ability to work as a key member of a team. Strong analytical, and problem-solving skills. Detail oriented. 5 years of experience in electrical engineering. This can include time spent on graduate degrees.

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Ops team at Apple. We build high quality ML datasets, from very small targeted sets to petabyte scale, to train and evaluate ML models that power AI-centric features for many Apple products. Our datasets help power intelligent algorithms on Camera and the Photos app, improve text input experiences (autocorrect, autocompletion, OCR) and more recently feed generative technologies in Apple Intelligence (Image Playground, Genmoji, Writing Tools, Math Notes…) We're looking for an exceptional engineering lead who is passionate about Apple products and values; who loves working with data ops at scale; and who is committed to the hard work vital to continuously improve complex ML data pipelines and data infrastructure. AI-centric products are the future of software; at their core, data is the source code of AI, a key component of innovation and inclusive and fair ML products. We invite you to join us at this exciting time; grow fast and positively impact multiple critical features on your first day at Apple! Our Data team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with Ru0026D teams in Apple's SWE organization. As a data engineering tech lead, you will be responsible for establishing and executing the strategy for our organization's ML data engine. Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art technologies Expertise in Python or another modern programming language Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment Demonstrated prior experience in foundation models such as building data infrastructure supporting generative technologies Self-starter, able to handle ambiguity, identify risks, mitigate, and autonomously find the right people and tools to get the job done Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience. 7+ years of industry experience as a software engineer, including 2+ years as a tech lead/architect specialized in data infrastructure