ML Engineer, Multimodal Sensing & Health

Socket.dev; Cupertino (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Apple seeks ML engineers to join the Applied Sensing & Health team, delivering Health and Fitness features for Apple Watch, iPhones and other products. You will scope, design and implement models for Health and Fitness algorithms, validate with synthetic data and real datasets, and coordinate with scientists, engineers, QA and PMs throughout the software lifecycle.

You will ship features that impact millions of users daily, partnering across disciplines to ensure secure, scalable systems and

Qualifications

• MS with 3+ years in quantitative data science.
• Experience building ML/DL models, preferably with time series.
• Strong Python and ML frameworks (PyTorch, TensorFlow).

Responsibilities

• Scope, design, and implement models for Health and Fitness algorithms.
• Validate algorithms with synthetic data flows and real datasets.
• Coordinate with scientists, engineers, QA, and project managers throughout the software lifecycle.
• Help ship secure and scalable systems that impact millions of users daily.

Skills

Machine learning

Python programming

Time series analysis

Statistical modeling

Education

MS in statistics/biostatistics/CS

PhD in quantitative data science

Tools

PyTorch

TensorFlow

Job description

Apple seeks ML engineers to join the Applied Sensing & Health team, delivering Health and Fitness features for Apple Watch, iPhones and other products. You will scope, design and implement models for Health and Fitness algorithms, validate with synthetic data and real datasets, and coordinate with scientists, engineers, QA and PMs throughout the software lifecycle.

You will ship features that impact millions of users daily, partnering across disciplines to ensure secure, scalable systems and