Job Description
At Apple, novel algorithms quickly become extraordinary products, services, and customer experiences. This is an opportunity to be part of a world-class research and engineering team building the next-generation of advanced algorithms for sensing technologies in iPhone, iPad, Apple Pencil, Apple Watch, and more. The role involves leading a small group of engineers and collaborating with cross-disciplinary teams. Responsibilities include developing innovative solutions to challenging technical problems and delivering key product features on time and with high quality. Effective leadership requires technical expertise and the ability to communicate with various teams like firmware, software, hardware technology, mechanical engineers, and designers.
Must Have:
- Experience in machine learning, signal processing, probabilistic modeling, statistics, and embedded programming.
At Apple, novel algorithms quickly have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. This is your opportunity to be part of a world class research and engineering team building the next-generation of advanced algorithms for sensing technologies in iPhone, iPad, Pencil, Watch and more. Our group has diverse backgrounds in machine learning, signal and image processing, statistics, estimation theory, control, physics and human factors. We are looking for a manager to lead a small group of hardworking engineers and work with cross-disciplinary teams across the company over the full product cycle. You will be responsible for developing innovative solutions to challenging technical problems and delivering key product features on time and with high quality. To lead the team effectively, you will draw deeply on your technical expertise. To represent the team well, you will need sufficient engineering breadth to have productive conversations with firmware and software teams, hardware technology teams, mechanical engineers, designers, and many other specialists across Apple. Knowledge of machine learning, signal processing, probabilistic modeling, statistics and embedded programming will increase your effectiveness in this position.
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