Senior ML Engineer — On-Device WatchOS Features

Apple, Inc.

Cupertino (CA)

In loco

USD 185.000 - 325.000

Tempo pieno

6 giorni fa
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Descrizione del lavoro

Apple seeks a Senior Software Engineer to create ML-powered features for watchOS. You will design on-device ML pipelines, build Swift frameworks, and interface with sensors to deliver high-impact user experiences on Apple Watch.

You will work with a collaborative team across research and product to prototype, validate, and ship scalable ML-driven features, balancing performance, power, and usability.

Competenze

  • 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) for time series analysis.
  • Strong communication and collaboration skills, with the ability to work independently or in small teams.

Mansioni

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

Conoscenze

Swift
Python
Communication
Collaboration

Formazione

MS in CS/ML
BSc in related field

Strumenti

NumPy
Matplotlib
Pandas

Descrizione del lavoro

Apple seeks a Senior Software Engineer to create ML-powered features for watchOS. You will design on-device ML pipelines, build Swift frameworks, and interface with sensors to deliver high-impact user experiences on Apple Watch.

You will work with a collaborative team across research and product to prototype, validate, and ship scalable ML-driven features, balancing performance, power, and usability.

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