11 hours ago
Responsibilities
- Develop and ship machine-learning, statistical, estimation, and signal-processing software for spatially aware customer experiences.
- Work with large, noisy datasets and build or evaluate supervised and unsupervised ML models.
- Develop software in modern object-oriented languages such as C++ or Swift across the full lifecycle from concept and prototype to production.
- Contribute to iOS applications, tools, data analysis, visualization, automation, and software-quality improvements.
- Collaborate with teammates, communicate and promote technical ideas, and deliver within memory, CPU, and schedule constraints.
Requirements
- Strong understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation.
- Experience processing large, noisy datasets and using NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
- Hands-on experience with applied probability, statistics, empirical or machine-learning algorithms, classical estimation, signal processing, or supervised ML training.
- Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.
- Preferred qualifications include industrial ML experience, deep learning with CNNs, RNNs/LSTMs, or Transformers, and experience with GPS/GNSS, WiFi, indoor localization, or other wireless sensing technologies.
- Strong coding, debugging, quantitative reasoning, communication, collaboration, and software design skills, with familiarity with embedded platforms, iOS, and large codebases.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.