At Apple, we're seeking a Machine Learning & Signal Processing Algorithms Engineer to join our world-class research and engineering team. This role is at the intersection of hardware, software, and user interface integration, focusing on developing next-generation sensing technologies for iPhone, iPad, Pencil, Watch and more.
The position involves analyzing sensor data, designing preprocessing algorithms, and extracting features to enable intuitive user interactions. You'll work closely with cross-functional teams throughout the product lifecycle, from early development to production support. Your expertise in time-series data analysis, algorithm design, and embedded programming will be crucial in creating innovative solutions that enhance user experiences.
As a key member of our eclectic team, you'll collaborate with experts from various backgrounds including signal processing, computer science, estimation algorithms, machine learning, and human factors. You'll be responsible for developing metrics to ensure algorithm performance, implementing solutions for new form factors, and creating user-facing features that millions of people will use daily.
The role offers competitive compensation between $143,100 and $264,200, comprehensive benefits including medical coverage, stock options, and education reimbursement. You'll have the opportunity to work on products that define the cutting edge of technology while collaborating with some of the best minds in the industry.
The ideal candidate brings a strong background in signal processing and machine learning, excellent C/C++ programming skills, and experience with embedded systems. You'll need at least 3 years of relevant industry experience and a passion for creating extraordinary products that enhance people's lives through technology.
Join us in shaping the future of human-computer interaction and be part of a team that's dedicated to shipping amazing products every year. Your work will directly impact how people interact with Apple products, making this an exceptional opportunity for someone passionate about combining algorithmic expertise with practical product development.