Apple jobs in Bellevue, WA

People at Apple don't just build products - they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Apple Service Engineering(ASE) team builds and provides systems and infrastructure that fuel Apple's services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple's software developers build the products that our customers love. We are looking for passionate and talented Site Reliability Engineers to continue our focus in providing our customers the highest quality Apple Services experience. Our services have to scale globally, stay highly available, and "just work." If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you! The Cloud Monitoring SRE organization is specifically tasked with enabling other teams to better understand their infrastructure and services, providing world-class observability capabilities. Keeping Apple services up and running 100% of the time is a challenging job. Accurately monitoring the health of every application and infrastructure that comprises the Apple ecosystem 100% of the time is an order of magnitude more challenging. As a Site Reliability Engineer on the Cloud Monitoring Team at Apple you will be working to improve the reliability and performance of the software systems that provide visibility into the services u0026 infrastructure that runs Apple. Our monitoring, alerting, and visualization platform analyzes billions of metrics per minute and comprises the central nervous system of Apple's architecture. You will work shoulder-to-shoulder with our engineering teams to design and build the next generation of cloud and systems monitoring infrastructure, focusing on automation, availability, performance, and above all efficiency at 'reach every user on the planet' scale. You will dive deep into gnarly operational issues; from the software, systems, automation, and process perspectives. You will understand the challenges around integrating disparate infrastructures into new facilities, processes and procedures. Apple Services Engineering infrastructure is BIG. Operating at our scale, across multiple geographically dispersed data centers and servicing hundreds of millions of users presents unique challenges. As an SRE at Apple, you'll need to solve these problems using data, teamwork, and your own expertise. SREs at Apple own the full infrastructure stack; from device driver performance debugging to content delivery network traffic management - our responsibilities are both broad and deep. ASE runs the majority of its systems on Linux. We run a mix of open source, vendor licensed, and internally developed tools to perform functions such as system configuration management, provisioning, software deployment, logging, and monitoring. You'll learn these tools and have opportunities to improve them. Our team is collaborative; we work closely with the development teams we support to deliver the best results for Apple. We think critically and strive to balance the best solution with the need to get things done for each engineering challenge we face. Good ideas are heard and results are rewarded. Master's degree in Computer Science or a related field is preferred. Demonstrated ability to investigate complex systemic and latent reliability issues and collaborate cross-functionally with software and systems teams to implement sustainable solutions. Experience automating workflows and reducing operational toil through scalable solutions. Use of configuration management and deployment tools Monitoring of systems and services, optimization of performance, and resource utilization Prior on-call experience supporting large-scale, distributed systems. Collaborating with a global and asynchronously communicating team. B.S. in Computer Science or a related field. Minimum 4+ years of industry experience. Proven experience developing production-grade software in Python, Go, or Java. Strong sense of ownership and integrity demonstrated through clear communication and collaboration Experience and confidence around incident response and incident management Experience/knowledge in managing and scaling distributed systems in a public, private, or hybrid cloud environment Experience/knowledge with the Prometheus ecosystem Acute drive to automate manual operations and to improve them through repeated iteration Comfortable with Open Source configuration management and orchestration tools (such as Helm, Puppet, and Spinnaker) Familiarity with micro-services architecture and container orchestration with Kubernetes

Senior Manager, Machine Learning Science - Travel Search & Discovery Introduction to Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. We're hiring a Senior Manager, Machine Learning Science to lead our Travel Search & Discovery team. In this role, you'll drive the development and optimization of Expedia's AI models, powering natural language search, multi-modal search, and generative AI-based discovery experiences. We're looking for a deep learning expert with both hands-on technical expertise and proven leadership experience in building high-impact AI solutions. You'll guide a team that designs and deploys cutting-edge models, setting the standard for innovation in search and discovery. Your leadership will directly shape the technology that helps millions of travelers and partners explore, plan, and experience the world every year. What you will do: Lead and mentor a team of Machine Learning scientists to develop state-of-the-art search and discovery algorithms, enhancing the relevance and personalization of our travel offerings Oversee the research, design, and implementation of scalable machine learning models that improve user engagement and satisfaction, while aligning with business objectives Collaborate with cross-functional teams, including product management, engineering, and UX design, to integrate machine learning solutions seamlessly into the overall user experience Analyze large datasets to extract actionable insights, utilizing advanced statistical and machine learning techniques to inform business strategies and feature development Stay updated with the latest advancements in machine learning and AI, especially in the field of Search & Discovery, incorporating relevant innovations to maintain the company's competitive edge in the industry Evaluate and ensure the quality, performance, and fairness of models in production, implementing best practices in model development and deployment Communicate sophisticated concepts and the results of the analyses in a clear and effective manner Collaborate with other machine learning scientists, data scientists, and machine learning engineers to formulate innovative solutions to experiment and implement sophisticated modeling techniques Minimum Qualifications: Bachelor's or Master's degree in computer science, computer engineering or equivalent work experience 8+ years of proven work experience in the field of Software Engineering; and experience in applying machine learning techniques to real-world problems 2+ years management experience; with the ability to inspire and guide a team toward achieving ambitious goals in a fast-paced environment Deep expertise in machine learning, data mining, and information retrieval Hands-on experience in deploying models in production at scale Strong programming skills in Python Proficiency in frameworks like TensorFlow and PyTorch Preferred Qualifications: Excellent problem-solving abilities and a keen analytical mindset, capable of navigating complex datasets and deriving meaningful insights Strong communicator, capable of articulating complex concepts to both technical and non-technical audiences, and fostering collaboration across diverse teams Passionate about travel and dedicated to transforming the online travel shopping experience through innovative machine learning solutions

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Fraud & Risk team plays a pivotal role in safeguarding the company's finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security-we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia's sustained revenue growth possible. In this role, you will: Lead ML Solution Development: Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals. Drive End-to-End ML Projects: Manage the full ML lifecycle-from data exploration and feature engineering to model evaluation, productionization, and monitoring. Collaborate Across Functions: Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business-relevant. Mentor and Grow Talent: Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence. Advance ML Capabilities: Evaluate and implement cutting-edge algorithms and tools to enhance model performance, scalability, and robustness. Build and Maintain Infrastructure: Configure and optimize storage, compute, and pipeline environments (cloud, on-prem, clusters) to support scalable ML workflows. Develop Internal Platforms and Best Practices: Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies. Communicate with Impact: Present findings and recommendations through clear, data-driven storytelling and compelling visualizations tailored to diverse audiences. Manage Stakeholders and Projects: Lead cross-functional initiatives, manage expectations, and ensure timely delivery of high-impact solutions. Solve Strategically and Creatively: Frame business problems as data science tasks, prioritize high-leverage work (80/20), and persist through technical and organizational challenges. Minimum Qualifications Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience 5+ years of experience building and deploying machine learning models in production environments. Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real-world problems, with an understanding of their trade-offs and deployment considerations. ML Programming Expertise: Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others. Software Engineering Skills: Applies design principles, data structures, and patterns to write clean, modular, and pipeline-ready code. Machine Learning Knowledge: Deep understanding of supervised and unsupervised learning; working knowledge of self-supervised and reinforcement learning. Advanced Statistical Methods: Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations. Applied Research: Conducts applied research and integrates findings from academic publications into practical solutions. Model Evaluation Innovation: Designs and implements custom evaluation techniques for tailored ML solutions. Visualization and Front-End Familiarity: Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications: Mentorship and Leadership: Provides technical mentorship and guides peers in frameworks and methodologies. Knowledge Sharing: Actively contributes to team learning through events, tools, and educational content. Domain and Business Acumen: Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives.

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Optical Science, Optical Engineering, Opto-Mechanics, Electrical Engineering, Physics, Computational Imaging or relevant technical field * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment * 2+ years experience in at least one of the following areas of optical research: geometry optics, aberration theory, optical system prototyping * 2+ years experience with lens design in optical design programs such as Zemax OpticStudio, Code V or similar * 2+ years experience with scientific programming languages (e.g., MATLAB, Python, and Mathematica) * Intent to return to degree program after the completion of the internship/co-op Preferred Qualifications * Experience working and communicating cross functionally in a team environment * Experience in freeform optics * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences * 2+ years of experience in system-level prototyping work, including hands-on prototyping of bench-top optical components * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as JOSA, SPIE, OSA, IEEE, CLEO, or similar Responsibilities * Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. * Publish research results and contribute to research that can be applied to Meta product development. * Develop next generation AR/VR displays with an emphasis on advanced simulations and prototyping to prove new concepts and understand the perceptual impact of those concepts. * Collaborate with larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices. * Explore the application of at least one of the following: geometrical optics, diffraction optics, polarization optics, illumination, optical system design. * This position will have an emphasis of advanced simulations and prototyping to prove new concepts and the perceptual impact of those concepts. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. You'll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation. Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration tools-enabling adaptive, stateful, and highly interactive workflow graphs. Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models. Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude). Pioneer LLM-based simulation & evaluation environments (e.g., LLM-as-a-Judge): Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously evaluate new features or workflows in both synthetic and prod online shopping and travel environments. Simulate A/B testing via LLM simulations: Build A/B test agents capable of simulating user engagement, behavioral outcomes, and marketing scenarios to complement and replace large-scale online testing-enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact. Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal GenAI, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation). Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions. Experience and qualifications: Minimum 7+ years experience delivering robust, scalable AI/GenAI solutions at enterprise scale with a Bachelors degree (4-5+ year of relevant experience with a Masters/PhD in CS, EE, Stats) Agentic frameworks experience working with platforms such as LangGraph, Langfuse, RAG, CrewAI, AutoGen, and comparable agent workflow frameworks Ability to design complex agent graphs with memory, tool calling, and multi-step reasoning Multimodal and agentic AI experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO, etc), advanced LLM pipeline design, and shipping both inference and generative AI features to users Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs, Multimodals etc) Proven expertise in architecting persistent, hybrid, and context-managed memory for agentic workflows Strong in Python (PyTorch, HuggingFace, etc.), MLOps, distributed systems (PySpark, Databricks, Airflow), and scalable API engineering Deep experience with tracing, logging, and observability stacks (Langfuse, PromptLayer, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production Ability to translate complex technical systems into actionable solutions for cross-functional teams, leveraging Multimodal LLMs and Gen AI models

Meta is seeking an Inventory Operations Lead to join the Infrastructure Supply Chain and Engineering (ISCE) team to focus on inventory operations optimization for all of Meta's infrastructure (Servers, Data Centers, Network) supply chain. This role will focus on optimizing supply chain operations at variance altitudes to balance delivery, flexibility, supply competence, and cost, from base components through manufacturing to finished goods, in an environment of continual product introduction, directly managing billions of investment annually. We will do this primarily by building software and mathematical optimization models, and automated tracking of key performance metrics to drive desired strategic and operational outcomes.The team is uniquely positioned to develop and optimize our infrastructure supply chain operations at the most strategic levels with company level impact. This role is very cross-functional and provides an opportunity to work with our supply chain partners and a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal deployment and operation of our infrastructure from both a cost and technology perspective, with millions of servers, gigawatts of data center capacity, and cutting-edge technology including **Required Skills:** Inventory Operations Lead Responsibilities: 1. Own infrastructure supply chain inventory operations for Meta (as part of Meta's overall capacity delivery plan): including servers, network, and data center equipment from components through manufacturing to finished goods 2. Design improvements to software systems to optimize inventory operations efficiency and accuracy, partner with software engineers to implement and contribute code yourself 3. Develop and analyze business, manufacturing, and logistics data and scenarios to solve complex problems in manufacturing operations and hardware logistics and delivery 4. Develop and apply stochastic models to simulate complex manufacturing systems, including production capacity, throughput, and material flow 5. Analyze simulation results to identify bottlenecks, optimize production, and improve overall system performance 6. Contribute to end to end supply chain processes (as part of Meta's overall capacity delivery plan), methodologies, and data to deliver an executable and optimized supply plan 7. Manage and resolve critical escalations and exceptions in all areas of the supply chain 8. Build mathematical models to perform simulation and optimization studies of manufacturing flow & capacity considering material inputs, supply partners, and logistics 9. Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 10+ years of experience in operations research, industrial engineering, supply chain management, inventory or related field 12. 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP 13. Experience working with distributed systems at scale 14. Experience in infrastructure operations and technical infrastructure knowledge 15. Experience in supply chain operations optimization 16. Experience working with cross-functional teams 17. Experience managing ambiguity, with a drive for continuous learning **Preferred Qualifications:** Preferred Qualifications: 18. Masters or Ph.D. degree in Operations Research and/or Industrial Engineering 19. 12+ years of technical and manufacturing operations experience in the hardware systems industry 20. Proven experience interfacing with and establishing relationships with management at suppliers or customers 21. Experience transforming business systems, models, and achieving results relative to goals. Demonstrated skills questioning the norm, thinking out-of-bounds, and delivering 22. Experience interfacing with internal & external partners in a cross-functional environment, requiring autonomous judgment while coordinating people and technical resources **Public Compensation:** $213,000/year to $293,000/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.

Meta is seeking a Research Scientist Intern to develop next generation AR displays with the use of optical and electromagnetic simulations and lead prototyping efforts to prove proof of principle concepts. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a PhD degree in Physics, Mathematics, Optical Science and Engineering, Electrical Engineering, Computational Imaging, Material Sciences or relevant technical field * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment * 2+ years experience in at least two of the following areas of optical research: Fundamental electromagnetics, Wave optics, polarization optics, geometrical optics, Ray tracing, Optical bench top experiments * 2+ years experience with wave optics and geometric optics design programs * 2+ years experience with experimental optics and conducting laboratory work (i.e., demonstrated ability to construct proof-of-concept systems and to evaluate performance) * Intent to return to a degree-program after the completion of the internship/co-op Preferred Qualifications * Experience working and communicating cross functionally in a team environment * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences such as CLEO, SID, SPIE, Optica, etc * Experience with nano-photonics solvers (e.g. RCWA, FDFD) and simulation software (Lumerical, meep, or similar) * Experience with inverse design for photonic devices Responsibilities * Develop next generation AR displays with the use of optical and electromagnetic simulations and lead prototyping efforts to prove proof of principle concepts. * Collaborate with the larger Meta Reality Labs Research team to explore novel solution space for AR devices. * Explore applications of active photonic integrated circuits and similar nano-photonic devices in simulatoin or with experiments to develop a near eye display. * Publish research results in internal organizations, conferences, patents and contribute to research that can be applied to Meta product development. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different type of company that connects billions of people around the world, gives them ways to express what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.At Meta Reality Labs (FRL), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are looking for a Mechanical Engineer with experience developing and shipping consumer electronics (ideally wearables) while considering a broad range of business and hardware requirements including materials, manufacturability, form factor, ergonomics, and integration of technologies on softgoods substrates. We are specifically looking for a candidate with a history partnering with suppliers in Asia to create novel devices. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com. **Required Skills:** Wearable Display Systems Opto-ME Lead Responsibilities: 1. Work across the full product development cycle to drive mechanical component/subsystem designs from concept to production, including softgoods and sensor system development 2. Manage supplier strategy for prototypes and production of parts 3. Lead the resolution of design, prototyping and manufacturing issues during the development phase 4. Communicate and resolve manufacturing and prototyping challenges in concert with the full program schedule 5. Partner with a cross-functional team of engineers and researchers 6. Work with first and third party partners to advance TRL of component technology 7. Occasional domestic and international travel may be a requirement for this position **Minimum Qualifications:** Minimum Qualifications: 8. Bachelors in Mechanical Engineering or equivalent experience 9. 8 + years of experience developing high-volume consumer products with stringent SWAP-C constraints in such as wearables, mobile devices, or similar 10. 8 + years experience in 3D CAD modeling (NX or similar) 11. Experience working cross functionally to rapidly prototyping new concepts 12. Experience designing for CNC, injection molding, die cutting, lamination, softgoods development 13. Experience managing component vendors 14. Experience planning and executing DOEs **Preferred Qualifications:** Preferred Qualifications: 15. Experience working on mechanical design and productization of augmented reality (AR) or virtual reality (VR) display systems 16. Working knowledge of optical principles, including geometric optics, wave optics, optical components, adhesives, etc 17. Working knowledge of industry-standard optical design and testing tools, such as Zemax, CodeV, FRED, or similar 18. Hands-on experience with mechanical simulation tools, such as ANSYS or Abaqus, with working knowledge of material behaviors including polymers, adhesives, and brittle materials 19. Knowledge of image processing and optical-display metrics, such as MTF, contrast, luminance, uniformity etc 20. Familiar with data processing and analysis tools like Matlab, Python, VS Code, JMP, C++, etc 21. Experience working with offshore Contract Manufacturers in delivering consumer electronics products in mass production 22. Demonstrated communication and collaboration skills, with past experiences of working effectively with cross-functional teams and driving convergence 23. Experiences of establishing best practices across programs for the internal and external mechanical community, driving efficiency and product improvement **Public Compensation:** $170,000/year to $240,000/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 the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. Meta Robotics Studio is seeking an Electrical Engineer. This role is pivotal in tackling the most novel electrical design problems we face, including designing and developing complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role is part of a team responsible for initial concept development, analytical modeling, prototype design, construction, and testing. Minimum Qualifications * 5+ years of experience in Electrical Engineering, with a proven track record of contributing to the successful inception, ideation, development, and launch of consumer products * BS degree or equivalent experience in Electrical Engineering, Computer Engineering or a related field * Experience in one or more of the following systems in the context of Robotic systems: Lithium Battery Systems, High Power (>100W) DC/DC Power Conversion and Distribution, DC Motor Controllers and Drivers, Embedded systems (MCU/GPU), Electrical System Integration, positional sensing (encoders, etc), cable harness design, functional safety systems, and control theory * Experience with electrical system integration including schematic and layout using industry-standard simulation and design packages such as SPICE, MATLAB, Altium or Cadence * Experience with electrical design verification using standard test and measurement equipment (Oscilloscope, LCR, DMM, Electronic Load, etc) * Experience working collaboratively with cross functional Engineering, Safety, Manufacturing, and external partners * Experience hands-on in lab assembling and testing systems, including soldering, crimping, and basic mechanical assembly * Experience innovating and solving complex design problems Preferred Qualifications * MS or equivalent experience in Electrical Engineering, Computer Engineering or a related field * 8+ years of experience in research or advanced development incubating new tech and guiding them through to product transfer * Experience in full Robotics and consumer electronic product design * Experience programming in other languages like Python/Java/C#/C++/C, creating initial system bring-up, debugging, and test code * Experience with signal and power integrity * Experience with vendor engagement and relationship management, including co-design and customization of existing commercial technologies * Experience defining and coordinating test procedures in a lab and factory environment to facilitate system bring-up and evaluation * Experience with electrical and operational safety controls and procedures * Design for Compliance certification and EMI/EMC theory Responsibilities * Architect and design electrical engineering solutions for the next generation of robotics that include fabrication and assembly of Printed Circuit Boards, Flexible Printed Circuits, and Rigid Flexible Printed Circuits * Develop schematics, guide board layout, assemble, test, debug, and integrate multi-component electrical systems using industry-standard simulation and design packages such as SPICE, MATLAB, Altium or Cadence * Establish and conduct collaborations with multidisciplinary partners, both internal and external * Embrace constant learning, diving into new areas with unfamiliar technologies, and supporting the ambiguity of robotics problem solving About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta designs, builds, leases, and operates the most leading-edge and efficient data centers in the world. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital and operational cost efficiency. Meta is seeking an experienced, organized, and collaborative Site Selection Manager - Leasing to join the Data Center Site Selection team. We are seeking a Data Center Site Selection Manager who has extensive experience negotiating large, complex leasing deals and an extensive knowledge of the legal agreements that accompany them. The Data Center Site Selection Manager should also have experience thinking both strategically and analytically, develop out-of-the box solutions and can navigate the challenges that accompany leasing projects and portfolios of large magnitude. Minimum Qualifications * Bachelor's degree in a business, engineering, environmental, or energy related discipline * 8+ years experience in facilitating, evaluating, or managing data center capacity projects * Experience leading large scale data center lease negotiations * Experience working with detailed financial models of data center projects and transactions, identifying key risks and sensitivities, and leading all related due diligence efforts (financial, commercial, technical, development) * Experience collaborating across multiple internal functions, including legal, compliance, finance, and accounting * Experience representing business interests to the leadership teams of potential suppliers, strategic markets, energy suppliers and other stakeholders * Proven precise communication skills * Experience synthesizing commercial, regulatory, market, and contractual details to all organizational levels * Experience managing multiple projects and collaborating with internal staff, lease providers, and external stakeholders * Proficiency in standard document and analytics platforms * Proven track record building and running leasing programs * Familiarity with various lease structures (Modified Gross, NNN, YoC, etc.) Responsibilities * Lead data center acquisition and lease contracting negotiations * Perform technical due diligence and validate site viability across energy, land, etc * Manage supplier relationships and best practices * Perform market analysis and develop leasing site selection strategy * Stay informed of the technical, market, and regulatory developments in the data center industry * Contribute to organizational strategy and development of leasing standards at Meta * Travel domestically (10-25% at times) About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead. As a Finance Rotation Program (FRP) Financial Analyst Intern, you'll learn how to perform financial analysis from full-time professionals at Microsoft. This unique opportunity will get you involved in the dynamic high-tech space solving problems using best-in-class financial tools including the latest productivity tools powered by AI. You'll also be able to explore one of many areas of Microsoft Finance: Financial Planning and Analysis, Treasury, Capital Markets, Sales and Marketing, Finance, Accounting, or any one of the many product groups such as Office, Xbox or many others. The FRP Internship is the primary pipeline into the early career Finance Rotation Program. Financial Analyst Interns will be considered for admission into the full time Finance Rotation Program (FRP) after completing their degree. At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This internship is for Redmond Washington and will be onsite summer 2026. Responsibilities * Applies financial acumen to, and contributes to analytics of present and future financial performance of various products, segments, key performance indicators (KPIs), or other businesses with oversight from team members. * Learns about and assists in the execution of forward-looking analyses with oversight from team members. Completes preliminary analyses to support preliminary and adjusted forecast cycles as appropriate. * Responds to ad-hoc requests from team members and peers to identify critical information and analyze financial data to support decision-making. * Understands and supports processes through engagement with internal and external stakeholders. * Learns about and proposes recommendations for improvements to current methods used in collecting data, and creating reports. Learns how advanced technology is leveraged in Finance and across Microsoft to provide greater depth of analysis. * Learns about and ensures compliance with company policies, legal standards, and regulatory requirements by reviewing and monitoring the accuracy of financial documents and business processes with oversight from team members. * Embody our culture and values. Qualifications Required Qualifications * Currently pursuing a Bachelor's or Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science, or related field. * Must have at least 1 semester/term remaining following the completion of the internship. * Competency in Microsoft Office, especially in Excel (pivot tables, Macros, VBA, etc.) Preferred Qualifications * Exposure to one or all of the following: * Conducting analysis in tools such as: Power BI /Tableau or other data visualization, SQL/R/Python or other programming/data science * Understanding of fundamental finance and accounting acumen including data modeling, data analytics, FP&A, forecasting, interpreting financial statements, and reporting * Incorporating AI into daily work to improve efficiency and quality The base pay range for this internship is USD $24.23 - $37.92 per hour. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $33.46 - $43.46 per hour. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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. Join a team that who helps bring applications onto Apple's iCloud services. We are looking for outstanding engineers who can engage closely with feature teams and bring both architectural and implementation guidance to best take advantage of Apple's cloud offering. iCloud and CloudKit bring cloud support to billions of users over thousands of applications. The ideal candidate is organized, a clear communicator, and can demonstrate effective collaboration. They have a strong engineering background with a history of delivering technical solutions and have shipped production applications at scale. Advanced degree Bachelor's Degree in an engineering-related field, or equivalent experience. Experience designing, delivering, and supporting solutions using cloud services Hands-on, recent code experience, preferably in Swift and Objective-C Experience with SQL and NoSQL database technologies Resourceful: excellent analytical and problem-solving skills Excellent written and interpersonal skills Ability to independently learn new technologies Be able to drive a project from a simple idea to an implementation Be a leader who possesses both strong programming skills and a creative, user-focused mentality Ability to thrive in a multifunctional team on high-profile, critical projects

We are looking for an engineer to play a key role in providing technical and engineering support to Meta's partners and clients globally. You will work with a global team of Business Support Engineers to provide proactive and reactive support for partner issues and integrations, while partnering with our varied cross functional teams to ensure a high quality for our products and a satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.As a Business Support Engineer at Meta, you will be given the opportunity to specialize in one of our key business areas across Ads, Business Messaging, Telecommunications and Fintech, and combine your experience of proven customer service skills with a product focus to ensure that key insights are communicated to our product teams. We are looking for people who have subject-matter knowledge in managing & maintaining integrations with 3rd party services, who help foster developer/business relationships, are experts in critical thinking & blending systems design with business needs, and who have a desire to improve the support experience of our customers.As a Business Support Engineer, you will understand industry trends, partner solutions/integrations and their implications for our product roadmap. You will work closely with other regional offices and partnership teams to support a broad range of partners across the globe to integrate Meta's Business Products into their offering. **Required Skills:** Business Support Engineer, Networking Responsibilities: 1. Engineering Support at Scale: Collaborate with Meta's business partners and clients to provide proactive and reactive engineering-level support, troubleshoot real-time issues, and ensure high satisfaction through a scaled ticketing system for Meta Priority Products 2. On-Call Support: Provide 24/7 on-call support coverage via on call rotation schedule (during working hours and including weekends) 3. Technical Relationship Management: Offer continuous technical support and guidance through APIs and Telecommunications Integrations, fostering deep relationships with our partners 4. Alerting & Monitoring: Develop and maintain alerting and monitoring systems to ensure high availability of partner integrations 5. Tooling & Documentation: Create and maintain tooling and documentation to assist partners with integration and adoption, streamlining the process and improving overall experience 6. Supportability & Efficiency: Improve internal operational efficiency by building tooling, leveraging AI, and implementing process optimization, enabling our team to work more effectively and efficiently 7. Data Analysis and Insight Sharing: Analyze information to identify trends and opportunities, recommend improvements, influence product roadmap, and share insights across the team to enhance the support experience 8. Product Enhancements: Collaborate with product engineering team and enhance product features while being voice of the customer 9. Leadership and Cross-Functional Collaboration: Lead cross-functional communication, manage key relationships, and coach team members to make informed decisions to prioritize resources, deliver constructive feedback and achieve common goals **Minimum Qualifications:** Minimum Qualifications: 10. 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 11. 3+ years of experience in software engineering, support engineering, reliability engineering or related field 12. Experience in programming languages such as Hack, Thrift, Python, C++, Rust, Java, and PHP, along with experience in the full web stack using SOAP or REST API technologies and architectures, front-end development with JavaScript/React, and SQL for database management 13. Understanding of network fundamentals and related technologies (TCP/IP, IP Stack, VPN, Routing) 14. Experienced in one or more of the following areas: communicating with wide ranging audiences, developing technical documentation, resolving operational issues using data, managing multiple projects, and driving initiatives in a cross-functional, global, and multilingual team environment **Preferred Qualifications:** Preferred Qualifications: 15. Master's degree in Telecommunications, Computer Networks, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 16. Experience developing, deploying and operating software in one or more public cloud infrastructure (Azure, Google Cloud Platform, AWS) 17. Understanding of SMPP, SS7, Value Added Services Platforms (SMS Firewall), and Telco Infrastructure (PGW, GGSN), or similar 18. Understanding of IT infrastructures and network protocols on different layers preferred, with demonstrated knowledge of different data exchange formats and protocols 19. Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems 20. Experience with large scale enterprise system development 21. Certified CCNA / CCNP **Public Compensation:** $109,000/year to $165,000/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 Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on developing display and optics technologies for Meta products, creating see-through display systems that seamlessly blend the real and virtual realms. The role involves designing architecture and display sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems.We're seeking an experienced Engineer to join our Reality Labs team, where you'll play a pivotal role in shaping the future of wearables. As a key member of our team, you'll explore innovative architectures and design spaces for our wearable devices, develop and analyze components, and drive detailed analysis. In this role, you will be part of a dynamic environment where you will consistently switch between high-level thinking and meticulous attention to detail to mature our architectures and designs. **Required Skills:** Optical Device Modeling Engineer Responsibilities: 1. Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing innovative materials and processes 2. Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of Wearable optics 3. Specify key performance metrics, test methods, and test requirements for optical components and systems 4. Develop and maintain technical roadmaps 5. Interface with stakeholders and leadership to influence product roadmaps 6. Stay updated on industry trends, emerging technologies, and competitor activity 7. Manage budgets, resources, and collaborations with global vendors **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 9. 6+ years of industry experience with a proven track record of full product development cycle of Consumer Electronics 10. Experience and expertise in these areas: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing 11. Technical leadership, communication, and project management skills 12. Problem-solving, analytical, and critical thinking skills **Preferred Qualifications:** Preferred Qualifications: 13. Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 14. In-depth knowledge of electromagnetic modeling techniques, such as the finite element method (FEM), finite-difference time-domain (FDTD), and rigorous coupled-wave analysis (RCWA) 15. Experience working with optical design software such as Meep, Lumerical, LightTools, Zemax, Code V, FRED, or similar 16. Experience in building predictive optical models, validating designs and models with metrology data, and closing the loop between simulations and measurements 17. Experience using scripting languages and data analysis tools such as Python, JMP, or MATLAB 18. Experience working with external vendors to deliver custom optical components, modules, or systems, involving challenging optical requirements to drive innovative fabrication process development, and new opto-mechanical integration and metrology techniques 19. Process development and failure analysis experience for optical components and modules such as cameras, sensors, or illumination/projector systems 20. Experience in developing optical modules or systems in highly multidisciplinary environments, including setting specifications, determining test methods, and overall module and system integration **Public Compensation:** $139,000/year to $200,000/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.

The Machine Intelligence, Neural Design (MIND) team is leading Apple-wide innovation on HW/SW co-design for efficient inference. We are seeking a highly motivated, results-driven team player with a strong background in machine learning and systems, along with hands-on software development experience. The role focuses on optimizing mobile-cloud hybrid inference for multi-modal large language models (LLMs), with emphasis on both systems-level innovation and ML co-design. Our mission is to advance the state-of-art in ML optimization techniques for efficient inference. Thus, the ideal candidate for this position is a researcher and engineer who will relentlessly push the existing boundary with out-of-box thinking, and materialize the idea with the very details to impact both Apple partners and research communities. * Research and develop ML optimization techniques for efficient on-device ML * Materialize the ideas/concepts and demonstrate the practical value in an industrial environment * Work with HW/SW teams to productize the outcome of the work Experience with Large-scale model training/tuning Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models. Experience with backend compilation, HW/SW co-design, and/or performance optimization Understanding ML accelerations and architectures Expert in Python/PyTorch programming Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc). Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc). Excellent communication and writing skills Ph.D. in CS/CE or related fields

The Director, Events Integrated Marketing leads the end-to-end integrated marketing strategy for Microsoft's flagship events-Ignite, Build, and AI Tour-building anticipation and excitement to the pre-, during-, and post-event experience. These events are peak moments for new and returning commercial customers where they will dive into Microsoft's vision and learn about the new technology. These are moments where we celebrate our innovations and the impact in the market, and where we celebrate our commitment to our customers. In this role, you will lead demand generation, drive the end-to-end strategy and execution of digital customer engagement experience, taking lead on achieving registration goals and consistently driving to sell-out, plus defining the news amplification strategy, and attendee coms. This role leads the alignment across Product Marketing, Events, and Digital teams to ensure cohesive messaging, flawless execution, and maximum audience engagement. Our flagship events are growing and we need a dynamic and innovative marketer to lead this pivotal work. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. **Responsibilities** + Strategic Leadership: Define and own integrated marketing plans for flagship events, aligning with business priorities and audience strategies. + Lifecycle Marketing: Orchestrate pre-, during-, and post-event campaigns across digital, social, paid media, email, and influencer channels to optimize reach and engagement. + Cross-Functional Alignment: Partner with Event Leads, product marketing, digital Chanel, and the coms team to ensure seamless and on-strategy execution across all touchpoints. + Audience Acquisition: Develop registration strategies and audience targeting plans for priority segments, leveraging data-driven insights. + Operational Excellence: Manage workback schedules, dependencies, and deliverables; lead Rhythm of Business (RoB) planning and executive communications. + Measurement & Optimization: Define Key Performance Indicators (KPIs) and conduct post-event retrospectives to apply learnings to future activations. + Embody our Culture (******************************************************* and Values (******************************************** **Qualifications** **Required/Minimum Qualifications** + Bachelor's Degree in Business, Marketing, Communications, Public Relations, or related field AND 5+ years integrated marketing for large-scale events or campaigns or related work experience + OR equivalent experience. **Additional or Preferred Qualifications** + Master's Degree in Business, Marketing, Communications, Public Relations, or related field AND 3+ years integrated marketing for large-scale events or campaigns, or related experience OR Bachelor's Degree in Business, Marketing, Communications, Public Relations, or related field AND 7+ years integrated marketing for large-scale events or campaigns, or related experience + OR equivalent experience. + Experience in digital marketing channels, analytics and customer journey design. + Experience running influencer and creator campaigns. + Experience driving demand generation and performance marketing. Integrated Marketing IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (**************************************************************

We're seeking an Information Architect who will build and implement cutting-edge technology solutions that power how our global workforce accesses and leverages organizational knowledge. We're looking for someone with hands-on development skills who can configure, deploy, and manage scalable content and knowledge systems. You will have direct experience implementing AI/ML solutions, especially for content intelligence and knowledge automation, and excels at turning strategic requirements into working technical solutions through prototyping, system integration, and iterative development. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build context rich information representation models to power NLP and LLMs with smart content 3. Help build APIs for smooth knowledge sharing across all platforms and new tech 4. Implement content system infrastructure using generative AI, semantic search engines, and predictive analytics models, building scalable technical solutions that anticipate organizational knowledge requirements 5. Build and deploy connected knowledge system integrations between HR platforms and enterprise intelligence systems using modern integration patterns and API development 6. Team up with product managers, engineers, and business stakeholders to build and deploy technical solutions, implementing user-friendly knowledge systems 7. Implement and deploy future thinking employee support systems using automated workflows, proactive information delivery mechanisms, and intelligent user interfaces 8. Work with global HR program owners to configure AI-powered content management solutions, implementing machine learning models and deploying enhanced knowledge system methods 9. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 10. Design and build knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 11. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 12. Research and implement industry best practices through direct technical development and system configuration 13. Develop architecture solutions that enable knowledge systems to adapt to changing business models and workforce needs 14. Maintain intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 15. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 16. Leverage AI-enhanced coding interfaces for rapid iteration, prototyping, and solution delivery 17. Partner with engineering to build and deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 18. Bachelor's degree in a directly related field, or equivalent practical experience 19. 6+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 20. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 21. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 22. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 23. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 24. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 25. Strategic thinking with experience in technology roadmapping, competitive analysis, and innovation planning 26. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 27. Demonstrated communication skills with proven experience to influence at all levels and drive organizational change **Preferred Qualifications:** Preferred Qualifications: 28. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 29. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 30. Familiarity with programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 31. Background in conversational AI development, natural language processing, or generative AI implementations 32. Practical experience in HR domains including benefits, compensation, payroll, and global regulatory compliance 33. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 34. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 35. Experience leading innovation initiatives in rapidly evolving, global technology environments 36. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $122,000/year to $177,000/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.

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:** Optical Engineer, Imaging Optics Responsibilities: 1. Drive design, development and implementation of imaging optics, and change the landscape of capabilities of AR/VR hardware. 2. Work closely with external hardware industry partners to identify, define, develop, test, and deploy state-of-the-art optics for imaging systems. 3. Work closely with internal camera and sensor, electrical engineering, and product design teams to develop imaging optics specifications, perform in-depth performance analysis and debug component and system level issues. 4. Apply knowledge of optics, hardware, applications, and programming to conduct research into fundamental computer and information science to develop the next generation near to eye display and imaging 3-Dtechnologies, hardware, and systems. 5. Employ their expertise in imaging, radiometry and photometry, unphysical and geometric optics to analyze optical problems with the goal of developing and designing solutions to hardware, middleware, and applications. 6. Responsible for developing advanced optical components and systems including imaging and display systems using spatial light modulators, diffractive optics, optical materials, and thin-films optics. 7. Responsible for modeling and prototyping of critical technologies to drive system performance and to validate achievable visual experience. **Minimum Qualifications:** Minimum Qualifications: 8. Requires Doctorate in Optical Engineering, Electrical Engineering, Physics, or a related field and 4 years of experience in job offered or in a related occupation 9. Requires 48 months of experience involving the following: 10. Imaging optics for both photographic and computer vision applications 11. Both sequential and non-sequential optical design software (e.g. Zemax, Code V, LightTools, FRED and/or ASAP) 12. Image quality evaluation, imaging sensor operation and characterization, stray light modeling and analysis, camera module or lens testing and characterization, imaging and illumination optics design and manufacturing 13. Theoretical analysis using MATLAB, Python or similar programs 14. Statistical analysis using MATLAB **Public Compensation:** $212,383/year to $231,110/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.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Treasury Manager - Capital Markets Please note this role is only available in Seattle and follows our flexible work model, which requires three in-office days a week. In this role you will be responsible for developing and executing the company's capital structure and capital allocation strategies. You will lead planning and execution of strategic projects that will require partnering with diverse set of cross-functional stakeholders. You will own execution and operational processes around the company's financing, share repurchases, dividends, working capital management and other capital market related processes. In this role you will: Provide strategic leadership in developing the company's capital structure and capital allocation strategies. Own operational execution for the company's capital market transactions, including debt financing, revolving credit lines, share repurchases and dividends. Design and maintain internal controls and ensure SOX compliance. Own the company's internal policy related to capital market transactions. Represent Treasury on M&A due diligence/funding. Drive operational excellence and optimize the use of tools and systems. Represent Treasury in multiple engagements with external stakeholders. Liaison with numerous internal stakeholders. Prepare executive level materials used for the engagement and discussions with the company's sr. leadership team. Experience and qualifications 7+ years for Bachelor's 5+ years for Master's CFA designation is a plus Excellent problem-solving skills focused on a test-and-learn and data driven decision making Ability to influence across all levels of the organization Ability to create a compelling narrative using data and insights and share with a broader audience Ability to scope and deliver on strategic projects working with a variety of stakeholders Savvy subject matter expertise in capital markets and Treasury that is sought after by the stakeholders Strong bias for action and results focus Strong quantitative and analytical problem-solving skills Proficiency in advanced Excel and financial modeling Excellent Power Point skills and ability to tailor content and messaging to the needs of the audience Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. The total cash range for this position in Seattle is $110,500.00 to $155,000.00. Employees in this role have the potential to increase their pay up to $177,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.