Senior On-Device ML Engineer — Health & Wearables

Apple Inc.; San Diego (CA); On-site; USD 142,000 - 263,000; Full time

Benefits offered by this job

Medical and dental coverage

Apple stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in San Diego, CA is seeking a Senior Software ML Engineer to create ML-powered features for Apple Watch, including on-device models and efficient integration with sensors and UX layers.

You will work cross-functionally to prototype, train, and deploy ML innovations that enhance health, wellbeing, and user interaction on wearable devices. This hybrid role emphasizes collaboration and hands-on optimization.

Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related field.
• Proficiency with Swift or Objective-C and developing on Apple platforms.
• Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
• Excellent communication and collaboration skills, with ability to work independently or in small teams.

Responsibilities

• Design, implement, and ship new ML-powered features on watchOS.
• Integrate and deploy ML models on-device, building Swift or Objective-C frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
• Profile and optimize code for the performance and power constraints unique to Apple Watch.
• Develop and optimize ML algorithms leveraging multimodal sensor data to detect user activities and contextual situations.
• Design and implement tools, analytics, and processes to perform in-depth analyses for validating algorithm performance both offline and on-device.
• Drive innovation from concept to deployment, ensuring ideas become high-impact user-facing features.

Skills

Communication

Collaboration

Independence

Education

MS or PhD in Computer Science/ML

Tools

Swift/Obj-C

Python

PyTorch

TensorFlow

Job description

Apple Inc. in San Diego, CA is seeking a Senior Software ML Engineer to create ML-powered features for Apple Watch, including on-device models and efficient integration with sensors and UX layers.

You will work cross-functionally to prototype, train, and deploy ML innovations that enhance health, wellbeing, and user interaction on wearable devices. This hybrid role emphasizes collaboration and hands-on optimization.