Senior Applied ML Engineer - On-Device Watch OS Features

Apple, Inc.

San Diego (CA)

On-site

USD 175,000 - 309,000

Full time

12 hours ago
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Benefits offered by this job

Comprehensive medical and dental cover
Retirement benefits
Discounted products and free services
Tuition reimbursement
Discretionary bonuses or relocation

Job summary

Apple, Inc. is seeking a Senior Software Engineer in Applied ML for watch software in San Diego. You will build ML-powered features for watchOS, deploying models on-device and integrating with sensors and UX layers.

Join a collaborative team to optimize performance under power constraints, develop scalable modeling pipelines, and translate research ideas into user-facing features across Apple Watch and related devices.

Qualifications

  • 5+ years of professional software development experience.
  • Expertise using Swift to develop on Apple platforms.
  • Familiarity with Python and numerical processing libraries (NumPy, Matplotlib, pandas).
  • Strong communication and collaboration skills, with the 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 frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
  • Profile and optimize code for the performance and power constraints unique to the Apple Watch.
  • Implement tools, analytics, and processes to perform in-depth analysis for validating algorithm performance both offline and on-device.
  • Drive innovation from concept to deployment, turning research ideas into high-impact, user-facing features.

Skills

Swift on Apple platforms
Python (NumPy)
On-device ML
Communication & collaboration
WatchOS/Xcode development

Education

MS in CS/ML

Job description

Apple, Inc. is seeking a Senior Software Engineer in Applied ML for watch software in San Diego. You will build ML-powered features for watchOS, deploying models on-device and integrating with sensors and UX layers.

Join a collaborative team to optimize performance under power constraints, develop scalable modeling pipelines, and translate research ideas into user-facing features across Apple Watch and related devices.

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