Senior ML Engineer - On-Device Features for watchOS

Apple Inc.; Seattle (WA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Apple benefits

Employee stock programs

Tuition reimbursement

Health insurance

Job summary

Apple seeks a versatile Machine Learning Software Engineer to develop innovative, ML-driven features for Apple Watch, collaborating with designers, ML engineers, and software experts.

You will train, optimize, and deploy models on-device, handling data collection, evaluation, and productization to reach millions of users. This hybrid role emphasizes cross-disciplinary work and rapid prototyping on Apple platforms.

Qualifications

• MS/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, hands-on analysis for validating and quantifying algorithm performance both offline and on-device.
• Drive innovation from concept to deployment, ensuring research ideas evolve into high-impact, user-facing features.

Skills

Swift

Objective-C

Python

PyTorch

TensorFlow

Communication

Education

MS/PhD in Computer Science or ML

Tools

Swift

Objective-C

Python

PyTorch

TensorFlow

Job description

Apple seeks a versatile Machine Learning Software Engineer to develop innovative, ML-driven features for Apple Watch, collaborating with designers, ML engineers, and software experts.

You will train, optimize, and deploy models on-device, handling data collection, evaluation, and productization to reach millions of users. This hybrid role emphasizes cross-disciplinary work and rapid prototyping on Apple platforms.