Senior ML Software Engineer, Watch Software

Apple Inc

Hybrid

Quick summary

Work type: Hybrid
Location: San Diego, CA
Salary: $171,600–$258,100 / 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 $215k

$161k most similar roles pay here $268k

This role pays less than 52% of similar roles. Most pay $194,500–$246,150 — the shaded band above. At the midpoint, this role pays about $215k 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 abstract ideas into practical, user-centric applications that enhance daily life through advanced sensing technologies. Your day-to-day responsibilities include optimizing machine learning algorithms using multimodal sensor data, integrating these 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 data collection, model training, evaluation, and deployment on resource-constrained devices, contributing to the team’s mission of improving health and wellbeing through intelligent device interactions.

Skills

Python PyTorch TensorFlow Swift Objective-C Apple Watch ML models multimodal sensor data deep learning frameworks data collection model training model optimization metrics definition evaluation failure analysis model deployment resource-constrained devices UX layers collaboration

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 collaboration with cross-functional teams.
Design tools and processes to analyze and validate algorithm performance both offline and on-device.
Implement advanced models and rapid prototyping techniques for new product 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.
Strong skills in data collection, model training, optimization, evaluation, and deployment to resource-constrained devices.

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