Clever jobs

AIML - Machine Learning Research Scientist, Data and ML Innovation Seattle, United States of America Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you. In this research scientist role you will join a small team of researchers performing fundamental research investigating foundation models for scientific domains. You will be involved in all aspects of performing research including project definition, method development, and experimental design. You will also run your own experiments, then analyze and interpret the results. You will take an active role in writing papers for publication and also using our findings to solve applied problems. You will also have the opportunity to collaborate with partner teams across Apple. Design robust experiments and methods to understand what foundation models do under the hood. Implement your methods and designs in experiment pipelines. Analyze and interpret your experimental results. Communicate results to teams across Apple. Write papers for publication in top-tier conferences/journals. Minimum Qualifications: PhD in computer science, statistics, physics, chemistry, electrical engineering, or operations research. Other hard sciences may also be considered. 3 publications in top-tier machine learning, statistics, or natural language processing venues. Deep knowledge of foundation models and experience training them and applying them to real,

Full Stack Engineer, Web Presence and Platform N/A Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Web Presence and Platform (WPP) is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe's front door surfaces, educates customers about the power of our platform, and drives our business success. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to modify. WPP offers exciting opportunities to have a major impact on Stripe's success, as stripe.com is often a user's first impression of the company, and the vast majority of signups come via the website. We'll apply data-driven rigor to our curiosity, and we'll come up with clever ways to get insight into important questions. We'll have the leeway to test out-of-the-box ideas alongside incremental ones. We'll apply Stripe's users-first mentality both internally and externally, crafting tangible productivity and quality-of-life improvements for colleagues while maintaining and

iPad & Input Product Design Engineering Program Manager Cupertino, United States of America Imagine holding the next generation of iPad, or experiencing the seamless magic of our newest input devices, before anyone else in the world. As a Product Design Engineering Program Manager (PD EPM) on the iPad & Input team, you are the conductor of the hardware orchestra that brings these iconic experiences to life! You will lead the technical execution of some of the most beautifully complex, integrated consumer electronics on the planet. From breathtaking new enclosures to the intuitive, tactile magic of how users interact with our ecosystem, you will drive clarity out of ambiguity and align brilliant cross-functional teams to deliver innovation at lightning speed. You'll be the heartbeat of the project-architecting the master plan, guiding rapid-fire engineering iterations, and balancing the ultimate tightrope of design, engineering, validation, and manufacturing. If you thrive in a fast-paced environment, geek out over solving mind-bending mechanical challenges, and love empowering teams to achieve the impossible, this is your chance to literally shape the future of how people interact with Apple hardware. Shape early product definition for next-generation iPads and input devices by guiding architecture choices, framing technical direction, and aligning cross-functional teams on clear objectives. Own the end-to-end program strategy by defining feature baselines, schedules, budgets, critical paths, and technology risks from concept through launch. Surface critical technical risks unique to our sleek, highly integrated ecosystem. Partner with engineering leaders to build clever mitigation plans and make the tough

Engineering Program Manager - Generative AI - Special Projects Cupertino, United States of America Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? The Apple Special projects organization is building groundbreaking technology, and we are looking for people like you! Apple offers a collaborative work environment that fosters creativity and innovation. Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences. We are looking for an Engineering Program Manager who will work closely with the Generative AI software team to develop next generation software. This individual will need a solid track record of building and maintaining complex UX software and familiarity with machine learning pipelines, platforms, tools and processes that deliver end-to-end experiences that delight customers. We're looking for an individual with a proven track record of shipping complex customer-facing projects under demanding timelines. You tend to be exceptional at working with a variety of personalities, adapting your approach and message to keep the project on track and the entire project team moving as a single unit. This individual needs to collaborate closely with multiple high functioning teams to create clever, nimble team

Senior Backend Systems Engineer, Sensing & Connectivity San Diego, United States of America Build the backend systems that power location intelligence for billions of people. Craft the next generation of location-aware experiences by architecting systems that seamlessly connect people's digital and physical lives - at a scale few engineers ever get to work with. Are you passionate about solving hard problems in clever ways? Do you love digging into data and proposing bold ideas, not just implementing them? Do you want your work to have real impact - from someone's daily commute to a life-critical emergency? If so, we might just be the team for you. Here at Apple, we build devices and services that enrich our customers' lives. In the location technologies group, we power navigation, emergency response, fitness, and a rapidly expanding set of indoor and outdoor services across new and existing hardware - spanning the full stack from raw sensors to the application layer. We reach more than a billion people every day, and what we do makes a difference. Join our team, and we'll help you do the best work of your life. If you join our team, you'll architect and build backend systems that process crowdsourced sensor data from hundreds of millions of devices, fueling algorithms that solve problems from everyday navigation to life-critical emergencies. You'll propose ideas, crunch data, leverage modern AI tools, and ship systems that run under demanding real-world efficiency requirements at global scale. If you join our team, you'll bring machine