Senior Machine Learning Systems Infrastructure Engineer - SIML, ISE

Apple; Cupertino (CA); On-site; USD 181,100 - 318,400; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock programs

Tuition reimbursement for education

Job summary

A leading technology company in Cupertino is seeking a Machine Learning Engineer to build infrastructure for product-focused machine learning projects. The ideal candidate will have a strong background in backend systems development and solid knowledge of machine learning fundamentals. Responsibilities include defining systems for algorithm analysis and ensuring data availability for machine learning scientists. This position offers a competitive salary range from $181,100 to $318,400, along with attractive benefits including medical coverage and stock programs.

Qualifications

• 5+ years of experience in backend systems development.
• Proven experience in systems engineering fundamentals and system design.
• Familiarity with Objective-C and Go.

Responsibilities

• Build infrastructure to support product-focused machine learning projects.
• Define systems for analysis of failure modes of algorithms.
• Make data available to machine learning scientists.

Skills

Python

C/C++

Java

Machine Learning Fundamentals

Backend Systems Development

Education

Bachelor's or Master’s degree

Tools

UNIX-based systems

macOS

iOS

Job description

Overview

Summary 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. 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..). This is an exciting time to join us: grow fast, and have an impact on multiple key features on your first day at Apple!

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.

Ideal Candidate

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

• Bachelors or Master’s degree, or equivalent experience.
• 5+ years of experience in backend systems development.
• Experience in Python, C/C++ and/or Java.
• Solid working knowledge of machine learning fundamentals.
• Proven experience in systems engineering fundamentals and system design, and can show strong expertise in one or more systems engineering stacks.

Preferred Qualifications

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

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 $181,100 and $318,400, 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. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

EEO

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Application

Apple accepts applications to this posting on an ongoing basis.