Senior Applied ML Engineer — Location & Context AI

Apple, Inc.

Cupertino (CA)

In loco

USD 185.000 - 325.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Stock programs
RSU awards
Employee Stock Purchase Plan
Medical & dental coverage
Retirement benefits
Discounted products
Education reimbursement

Descrizione del lavoro

Apple, Inc. in Cupertino, CA is seeking seasoned engineers to elevate our location technologies.

You will shape the multi-year technical roadmap, translate product goals into strategy, and balance architectural trade-offs while collaborating with sensing, Siri, and apps teams. Ideal candidates have deep production software experience, strong ML and data processing skills, and a track record of leading multi-engineer projects for mobile or resource-constrained devices.

Competenze

  • Experience building and shipping production software.
  • Experience shipping production software for mobile and/or resource-constrained devices.
  • Proficiency with C++/Obj-C/Swift codebases.
  • Data processing with large, noisy datasets.
  • Hands-on with ML libraries (NumPy, pandas, scikit-learn, PyTorch or TensorFlow).
  • Applied probability, statistics, and ML/MS algorithms.

Mansioni

  • Define feature development direction and strategy for location tech.
  • Set multi-year technical roadmap and translate product goals into strategy.
  • Collaborate with sensing, Siri, and apps teams to shape user experiences.

Conoscenze

Production software
Mobile development
C++/Obj-C/Swift
Data processing
ML libraries
ML algorithms

Formazione

Bachelors/Masters in CS/CE/Math

Strumenti

NumPy
pandas
scikit-learn
PyTorch
TensorFlow

Descrizione del lavoro

Apple, Inc. in Cupertino, CA is seeking seasoned engineers to elevate our location technologies.

You will shape the multi-year technical roadmap, translate product goals into strategy, and balance architectural trade-offs while collaborating with sensing, Siri, and apps teams. Ideal candidates have deep production software experience, strong ML and data processing skills, and a track record of leading multi-engineer projects for mobile or resource-constrained devices.

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