Senior ML Software Engineer

Apple Inc

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Diego, CA
Salary: $175,000–$308,500 / yr
Posted: 43 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

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.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior ML Software Engineer

Role Posting Log in to save

As a Senior ML Software Engineer - Apple Watch, you will join a multi-disciplinary team focused on developing innovative sensing experiences and human-computer interaction features for the Apple Watch. 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 creating tools to validate algorithm performance. The role requires expertise in Python, PyTorch or TensorFlow, and experience with Swift or Objective-C for Apple platforms. You will solve complex problems involving time-series data and predictive modeling to transform research ideas into high-impact features like DoubleTap and AssistiveTouch while ensuring robust product quality across the hardware ecosystem.

Skills

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

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-efficient performance.
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 to analyze and quantify algorithm performance both offline and on-device.
Develop production-quality code using Python and deep learning frameworks like PyTorch or TensorFlow.
Build sensing experiences that translate complex data into intuitive human-computer interaction features.

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.
Demonstrate a commitment to product quality and interest in building consumer applications.

Save