Senior Software Engineer, Machine Learning Infrastructure and Quality

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 116 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $242k

$149k most similar roles pay here $326k

This role pays more than 73% of similar roles. Most pay $166,175–$246,150 — the shaded band above. At the midpoint, this role pays about $242k versus about $206k 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 Software Engineer, Machine Learning Infrastructure and Quality

Role Posting Log in to save

Senior Software Engineer, Machine Learning Infrastructure and Quality joins the cloudOS team to drive innovations in software development and quality for various machine learning workflows. This role involves working on training, inference, and characterization for diverse ML workloads while developing infrastructure, automation, and services to facilitate validation and qualification of technologies. The engineer will design and implement comprehensive automated test plans and apply statistical concepts to validate data and models across the machine learning stack. Required skills include proficiency in compiled languages like C, C++, Objective-C, or Swift, along with scripting languages such as Python, Go, or JavaScript. Candidates must possess a deep understanding of operating system concepts and experience with common machine learning frameworks. The role focuses on solving technical challenges related to infrastructure quality for systems running on Apple silicon servers.

What does a Software Engineer earn in Washington?

Median $202800 from 326 postings across 28 companies.

See salary data

Skills

Machine Learning C C++ Swift Objective-C Python Go JavaScript Operating Systems Automation Software Development Lifecycle Inference Training

What you'll do

Develop and optimize software for machine learning training, inference, and characterization workflows.
Build infrastructure, automation, and services to facilitate the validation and qualification of ML technologies.
Design and implement comprehensive automated test plans across all application layers.
Apply statistical concepts to validate and quality assure data and models.
Drive innovations in software development and quality for various machine learning workloads.
Measure and improve the quality of the internal machine learning software stack and infrastructure.
Champion quality software development by identifying improvements throughout the entire development process.

What we're looking for

At least 5 years of experience with hardware and/or software development lifecycle processes.
At least 5 years of experience in one or more compiled languages such as C, C++, Objective-C, or Swift.
Proficiency in at least one scripting language including Python, Go, or JavaScript.
Experience with Machine Learning, its practical applications, and commonly used frameworks.
Proven understanding of Operating System concepts.
Ability to craft, maintain, and implement test plans across all application layers.
Ability to apply statistical concepts to validate and QA data and models.
A B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.