The Applied Sensing & Health team develops software that powers the next generation of fitness, safety, and health experiences. We transform complex, multi-modal sensor data from the iPhone, Apple Watch, and AirPods into meaningful and elegant insights about our users health, wellbeing, and safety. By combining advanced machine learning-including the integration and tuning of foundation models-with domain knowledge and scientific research, we have delivered impactful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and Walking Steadiness. As a dynamic and highly multi-disciplinary team working at the intersection of research and product development, you will have the opportunity to build the next generation of sensing-based features that will motivate, inform, and inspire millions of Apples customers every single day. You will help ship high-quality, interactive Health, Fitness, and Safety features that impact millions of Apple Watch, iPhone, and AirPods users. You have a deep sense of ownership and feel a personal stake in the products you ship. You are comfortable navigating ambiguity in early-stage development, demonstrate initiative, and work well under tight deadlines. You build strong, collaborative relationships with others and are dedicated to a culture of continuous improvement for yourself, your team, and our products. In this role, you will implement and ship interactive software features and algorithms that impact millions of users on a daily basis. You will be responsible for optimizing software implementations for power, memory, and performance, especially within the constraints of embedded, low-power systems. Operating at the intersection of software, data engineering, and machine learning, you will collaborate closely with scientists, engineers, QA, and project managers throughout the software lifecycle. Bachelors in Computer Science, EECS, or equivalent experience. Developed C/C++, ObjC or Swift code for a shipping product or a peer reviewed environment. Background in developing, debugging and optimizing algorithms for low-power embedded systems. Masters or PhD in Computer Science, EECS, machine-learning or equivalent experience. 2+ years of technical experience in an industry setting. Background in developing deep learning, foundation, and/or generative AI models for multiple data modalities (time series, images, language, etc.). Experience collaborating in small teams. Excellent interpersonal skills and communication (written and verbal).
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.