Personalize the Apple user experience based on location context, developing intelligent systems that understand location context and help users achieve what they want.
Requirements
- Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques.
- Data processing: Skilled in working with large, noisy datasets.
- Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
- Experience shipping production software for mobile and/or other resource-constrained devices.
- Capability of creating, analyzing, and modifying SW functionality, ideally in C++/Obj-C/Swift codebases
- Hands-on experience with applied probability, statistics, and empirical and/or ML algorithms.
- Classical estimation, signal processing, and/or training supervised ML models are relevant.
Responsibilities
- design, build, and evaluate production ML systems that infer a device’s patterns by inference on date like GPS, Wi-Fi, and accelerometers and higher semantic signals - combining estimation techniques with machine learning.
- test and refine your work, use it yourself, track metrics, and iterate for quality.
- identifying behavioral patterns
- help shape new and enhanced user experiences by collaborating closely with teams across sensing, Siri, and apps.
- take ownership of complex, end-to-end problems
Other
- Laser focus on customer impact and product experience.
- Excellent communication, verbally and in writing.
- You can succeed in a collaborative environment, and are comfortable with what will sometimes feel like a high degree of uncertainty.
- You can innovate within tight memory, CPU, and schedule constraints, and deliver on time.
- These constraints motivate you, and ignite your creativity.
