Senior ML Software Engineer

Apple Inc

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Seattle, WA
Salary: $175,000–$308,500 / 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 $242k

$159k most similar roles pay here $325k

This role pays more than 58% of similar roles. Most pay $204,095–$254,750 — the shaded band above. At the midpoint, this role pays about $242k 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 creating innovative sensing experiences and features like DoubleTap and AssistiveTouch. You will be responsible for developing and optimizing machine learning algorithms that utilize multimodal sensor data, such as motion and audio, to detect user activities and contextual situations. Your daily work involves integrating and deploying power-efficient models on-device, building frameworks that interface with sensors and UX layers, and designing tools to validate algorithm performance. The role requires proficiency in Python, deep learning frameworks like PyTorch or TensorFlow, and experience with Swift or Objective-C for Apple platforms. You will solve complex problems in human-computer interaction by transforming research ideas into high-impact products while utilizing your expertise in statistical analysis and predictive modeling with time-series data.

Skills

Machine Learning Python PyTorch TensorFlow Swift Objective-C Deep Learning Statistical Analysis Multimodal Sensor Data Productization

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-device while ensuring power efficiency.
Build frameworks that encapsulate models and interface with sensors and UX layers.
Transform research ideas into high-impact, production-ready features for Apple Watch.
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

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

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