The team you will join is responsible for creating the technologies that power new innovative product features for Apple Watch like DoubleTap AssistiveTouch Handwashing and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship are looking for an experienced ML engineer who is passionate about developing innovative product features that push the boundaries of sensing machine learning and human-computer interaction. You will work closely with designers machine learning engineers and software experts to turn vague ambitious ideas into the next generation of sensing experiences for millions of Apple Watch users. Your responsibilities will include:- Lead architectural discussions evangelize our values and collaborate with partner teams to align on product goals- Develop models and tools to improve the capabilities of systems that use machine learning- Transfer cutting edge research in predictive modeling to production-ready technologies
M.S. or Ph.D. in Machine Learning Computer Science or a related field; additional background in Human-Computer Interaction (HCI) is a plus
Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
Hands-on experience developing predictive models using time-series and multimodal sensor data to ship ML-based features and products
Proficient in the full ML development cycle: data collection model training and optimization defining metrics performing failure analysis and model deployment to resource constrained devices
Exceptional communication collaboration and leadership skills with a proven ability to operate as a tech lead and work effectively with many diverse cross-functional teams and stakeholders
Proven ability to design and build scalable modeling pipelines for data processing training and evaluation
Experience with advanced learning paradigms such as federated zero-shot and few-shot learning
Experience with signal processing techniques for ML applications
Familiarity with Swift or Objective-C and Apple developer SDKs
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