Senior ML Software Engineer, Watch Software

Apple Inc

Hybrid

Quick summary

Work type: Hybrid
Location: Cupertino, CA
Salary: $181,100–$272,100 / yr
Posted: 88 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k

This role $227k

$160k most similar roles pay here $284k

This role pays more than 64% of similar roles. Most pay $194,500–$246,150 — the shaded band above. At the midpoint, this role pays about $227k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Senior ML Software Engineer, Watch Software

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As a Senior ML Software Engineer on Apple’s Watch Software team, you will play a pivotal role in developing cutting-edge features for the Apple Watch, such as DoubleTap and Handwashing. This hybrid position involves collaborating with designers, ML engineers, and software experts to turn visionary ideas into practical, user-centric applications that enhance daily life through advanced sensing technologies. Your day-to-day responsibilities include optimizing ML algorithms using multimodal sensor data, integrating models on-device for efficient performance, and driving the entire lifecycle of innovative features from concept to deployment. You will need a strong background in machine learning, proficiency with Python and deep learning frameworks like PyTorch or TensorFlow, and experience with Swift or Objective-C for Apple platform development. This role demands expertise in handling time-series data, statistical analysis, and predictive modeling, as well as the ability to work independently while fostering collaboration across diverse teams.

Skills

Python PyTorch TensorFlow Swift Objective-C Apple Watch ML algorithms Multimodal sensor data Deep learning frameworks Data collection Model training Model optimization Metrics definition Evaluation Failure analysis Model deployment Resource-constrained devices Analytics Process design

What you'll do

Develop and optimize ML algorithms using multimodal sensor data for user activity detection.
Integrate and deploy ML models on Apple Watch with power-efficient frameworks.
Transform research ideas into high-impact features through concept-to-deployment innovation.
Design tools and processes to validate and quantify algorithm performance offline and on-device.
Collaborate with designers, ML engineers, and software experts to develop user-facing features.

What we're looking for

M.S. or Ph.D. in Machine Learning, Computer Science, or related field.
Expertise in machine learning methods, statistical analysis, and predictive modeling with time-series data.
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
Experience developing on Apple platforms using Swift or Objective-C.
Ability to design and implement tools for analyzing algorithm performance both offline and on-device.
Strong communication and collaboration skills for working independently or in small teams.

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