Apple

Software Engineer, Applied ML

Apple
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1 day ago
Cupertino, CA, USASenior
H1B sponsor

Responsibilities

  • Drive the direction, feature development, and technical strategy for location technologies and ML-driven product features.
  • Design, build, evaluate, and refine production ML systems that infer device patterns from GPS, Wi-Fi, accelerometer, and semantic signals.
  • Set multi-year technical roadmaps and make architectural and investment trade-offs with engineering, product, and research leadership.
  • Translate ambiguous product goals into clear technical strategy and identify new opportunities for location intelligence across Apple products.
  • Collaborate with teams across sensing, Siri, and apps to shape new and enhanced user experiences.
  • Track metrics, test and iterate on system quality, and use the resulting experiences directly.
  • Provide technical leadership for multi-engineer projects and mentor engineers to raise the team’s technical bar.

Requirements

  • Experience building and shipping production software, including technical leadership of multi-engineer projects.
  • Experience shipping production software for mobile or other resource-constrained devices with tight memory, CPU, and schedule constraints.
  • Ability to create, analyze, and modify software functionality, ideally in C++, Objective-C, or Swift codebases.
  • Experience working with large, noisy datasets and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience with applied probability, statistics, empirical algorithms, machine-learning algorithms, classical estimation, or signal processing.
  • Strong understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation techniques.
  • Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.
  • Track record of setting technical strategy and roadmaps for ML-driven product features and influencing decisions across organizations without direct authority.
  • Experience as an industrial ML practitioner, mentoring and growing engineers, and building alignment with technical and non-technical stakeholders.
  • Preferred experience with location or wireless sensing technologies such as GPS/GNSS, WiFi, indoor localization, or discrete localization.
  • Strong written and verbal communication skills, including presenting strategy and technical trade-offs to senior leadership.

Tech Stack

C++NumPyObjective-CPandasPyTorchscikit-learnSwiftTensorFlow

Categories

Apple

About Apple

10,000+ employees

Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.

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