Senior ML Engineer, On-Device Watch Features

Apple, Inc.

United States

In loco

USD 175.000 - 309.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical & dental
Retirement benefits
Stock programs
Education reimbursement
Relocation assistance

Descrizione del lavoro

Apple is seeking a Senior Software Engineer to develop ML-driven features for Apple Watch. You will design, implement, and ship on-device ML capabilities, integrating models with Swift, sensors, and the UX stack.

Collaboration with cross-functional teams will be essential to bring cutting-edge health and interaction features to users. The role emphasizes scalable modeling pipelines, rapid prototyping, and production-ready deployment, with a strong focus on performance and energy efficiency on

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

M.S. in CS/ML

Strumenti

NumPy/Pandas/Matplotlib

Descrizione del lavoro

Apple is seeking a Senior Software Engineer to develop ML-driven features for Apple Watch. You will design, implement, and ship on-device ML capabilities, integrating models with Swift, sensors, and the UX stack.

Collaboration with cross-functional teams will be essential to bring cutting-edge health and interaction features to users. The role emphasizes scalable modeling pipelines, rapid prototyping, and production-ready deployment, with a strong focus on performance and energy efficiency on

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