Senior ML Software Engineer

Apple Inc

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Boulder, CO
Salary: $165,800–$292,400 / yr
Posted: 43 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k

This role $229k

$151k most similar roles pay here $308k

This role pays less than 57% of similar roles. Most pay $204,095–$254,750 — the shaded band above. At the midpoint, this role pays about $229k versus about $229k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior ML Software Engineer

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As a Senior ML Software Engineer - Apple Watch, you will join a multi-disciplinary team focused on developing innovative sensing experiences and features like DoubleTap and AssistiveTouch. You will be responsible for the full lifecycle of machine learning products, from training advanced models to rapid on-device prototyping and large-scale production. Your daily work involves developing and optimizing ML algorithms using multimodal motion and audio sensor data to detect user activities and contextual situations. To succeed, you must possess expertise in Python, PyTorch or TensorFlow, and experience with Swift or Objective-C for Apple platforms. You will build power-efficient frameworks that interface with sensors and UX layers while designing tools to validate algorithm performance. This role solves complex human-computer interaction challenges by transforming research ideas into high-impact features that enhance how users interact with wearable technology.

Skills

Machine Learning Python PyTorch TensorFlow Swift Objective-C Deep Learning Statistical Analysis Predictive Modeling

What you'll do

Develop and optimize ML algorithms using multimodal sensor data to detect user activities and contexts.
Integrate and deploy ML models directly on devices while ensuring power efficiency.
Build frameworks that encapsulate models and interface seamlessly with hardware sensors and UX layers.
Transform research ideas into high-impact, production-ready features for Apple Watch users.
Design and implement tools and analytics to validate algorithm performance offline and on-device.
Write production-quality code using Python and deep learning frameworks like PyTorch or TensorFlow.
Develop software for Apple platforms using Swift or Objective-C.

What we're looking for

Hold an M.S. or Ph.D. in Machine Learning, Computer Science, or a related field.
Possess solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data.
Demonstrate strong Python skills with experience writing production-quality code.
Experience working with deep learning frameworks such as PyTorch or TensorFlow.
Have experience with Swift or Objective-C and developing on Apple platforms.
Possess experience architecting large scale systems.
Exhibit excellent communication and collaboration skills to work effectively with cross-functional partners.

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