Machine Learning Systems Infrastructure Engineer - SIML, ISE

Apple; Seattle (WA); On-site; USD 166,000 - 251,000; Full time

Job summary

An established industry player is seeking a Machine Learning Systems Infrastructure Engineer to join their innovative team. In this dynamic role, you'll be at the forefront of developing infrastructure that supports groundbreaking machine learning projects, including image generation and natural language processing. Your expertise will be crucial in defining datasets and ensuring seamless data availability for machine learning scientists. This position offers a unique opportunity to work collaboratively across teams, tackle diverse challenges, and contribute to cutting-edge technologies that can transform the way people interact with their devices. If you thrive in a fast-paced environment and are eager to expand your skills, this role is perfect for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Tuition reimbursement for education

Employee stock purchase plan

Discretionary bonuses

Qualifications

• 5+ years of experience in full-stack development.
• Solid working knowledge of machine learning fundamentals.

Responsibilities

• Build infrastructure to support product-focused machine learning projects.
• Leverage machine learning to index terabytes of data.

Skills

Full-stack development

Java

Python

C/C++

Machine learning fundamentals

Systems engineering

Tools

macOS

iOS

UNIX-based systems

Objective-C

Job description

Machine Learning Systems Infrastructure Engineer - SIML, ISE

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Mar 26, 2025

Weekly Hours: 40

Role Number: 200596909

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple’s ecosystem. Our work is behind essential features such as Camera, Text & Handwriting recognition, and Apple Intelligence experiences (Image Playground, Writing Tools, Smart Script, Math Notes).

Description

In this role, you will be building infrastructure to support product-focused machine learning projects. You will build systems that leverage machine learning to index terabytes of data for projects in domains like image generation, LLMs, computer vision, natural language processing, human-computer interaction and text recognition. You will define and build out systems for analysis of failure modes of algorithms built upon this data, and for reporting overall benchmarking results for model comparisons. The technology you build will play a major role in defining important datasets, ingestion of annotated/inferred data into our systems, and making the data available to machine learning scientists in a seamless manner. This role requires a diverse set of skills, from tackling low-level distributed computing challenges at bare metal, to contributing to internal client user experiences by building stable interfaces, and everything in between. As the ideal candidate, you enjoy variety, and are passionate about working on new things on a frequent basis. You love working with a large number of people across teams throughout the company, and driving solutions that take multiple partners into account. You are either a machine learning industry pro, or an outstanding engineer wanting to expand your horizons and learn more about the nitty gritty of how ML projects are launched from inception to release.

Minimum Qualifications

1. 5+ years of experience in full-stack development.
2. Experience in Java and/or Python, and C/C++.
3. Solid working knowledge of machine learning fundamentals.
4. Proven experience in systems engineering fundamentals and system design, and can show strong expertise in one or more systems engineering stacks.

Preferred Qualifications

1. Domain experience in machine learning, AI, computer vision, or a related field (computer graphics, image processing, multimedia, etc.).
2. Experience with macOS and/or iOS development and familiarity with UNIX-based systems.
3. Ability to provide publicly-available samples of work done, or shown success in coding competitions/hackathons is desired.
4. Familiarity with Objective-C.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity.