← All roles

Senior Software ML Engineer - Watch Software

Apple· Machine Learning and AI
Apply on company site
Hybrid (San Diego, CA), Hybrid (Cupertino, CA), Hybrid (Seattle, WA)$142.3k - $263.3kunknownPosted 4w ago

About the role

Machine learning engineer focused on on-device ML features for Apple Watch, including sensing and HCI features like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. Hybrid role collaborating with designers, ML engineers, and software experts to transform ideas into on-device ML-powered features for watchOS.

Responsibilities

  • Design, implement, and ship new ML-powered features on watchOS.
  • Integrate and deploy ML models on-device, building Swift or Objective-C frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
  • Profile and optimize code for performance and power constraints of Apple Watch.
  • Develop and optimize ML algorithms leveraging multimodal sensor data (e.g., motion, audio) to detect user activities and contextual situations.
  • Design and implement tools, analytics, and processes to perform in-depth analysis for validating and quantifying algorithm performance both offline and on-device.
  • Drive innovation from concept to deployment, turning research ideas into high-impact, user-facing features.

Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, or related field.
  • Proficiency with Swift or Objective-C and developing on Apple platforms.
  • Experience using Python and deep learning frameworks such as PyTorch or TensorFlow for predictive modeling.
  • Excellent communication and collaboration skills, with ability to work independently or in small teams.
  • Experience optimizing and profiling applications for performance and power consumption.
  • Ability to work within the full ML development cycle: data collection, model training and optimization, defining metrics, evaluation, failure analysis, and model deployment to resource constrained devices.

Skills

Required:SwiftObjective-CPythonPyTorch or TensorFlowML on-device deployment

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments
  • relocation support
  • Apple shareholder eligibility through stock programs
Last updated Sep 25, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11

More open roles at Apple