16 hours ago
Cupertino, CA, USAMid Level
H1B sponsor
Responsibilities
- Scope, design, and implement machine learning and deep learning models for Health and Fitness algorithms.
- Develop multimodal sensor-fusion algorithms for human movement, ambient sensing, and related Apple product features.
- Validate algorithms using synthetic data flows and real datasets with generative AI.
- Collaborate with scientists, engineers, QA, project managers, and multidisciplinary teams throughout the software lifecycle.
- Deliver secure, scalable, and high-quality systems that support features used by millions of customers.
Requirements
- Master’s degree and at least 3 years of experience in a quantitative data science discipline such as statistics, biostatistics, epidemiology, or computer science.
- Strong background developing machine learning and/or deep learning models, preferably with time series data.
- Strong proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow.
- Preferred: PhD or 5+ years of experience in a quantitative data science discipline.
- Ability to formulate hypotheses and apply statistical approaches to evaluate data.
- Understanding of the computational and storage complexities of large datasets and experience leveraging distributed compute and storage models.
- Commitment to rigorous validation of tooling and data pipelines, effective communication, and incorporating feedback.
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.