Machine Learning Engineer

Role Number:
Team:
Hardware, Machine Learning and AI

Location:

Cupertino Posted:
Summary Video is at the core of nearly all Apple products, and as a research engineer on our team, you will build the infrastructure, pipelines, systems, and models that power the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems across the full ML lifecycle — including training infrastructure, performance optimization, data, and production deployment.

Your work will redefine the video experience for billions of users.

Description In this role you will work together with colleagues to design, scale, and harden the systems that bring ML-based video approaches into current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the intersection of ML, systems engineering, and performance optimization. Strong engineering and analytical skills will be critical towards solving challenging problems across efficiency optimization, training, data, and deployment.

Minimum Qualifications BS and 10+ years of hands-on industry experience building production ML systems, with a proven track record of design/implementation leadership

Deep familiarity with in of ML-centric flows and best practices: training procedures, data loaders, profiling and debugging methodology, data handling, model development, model deployment

Proficiency in Python, C++, Py Torch Familiarity  with computer architecture principles

Proficiency in AI tooling such as Claude and excellent high-level design skills — allowing building robust, modular, clean, and well-tested code

Preferred Qualifications MS specializing in ML systems, performance engineering, or a related area Experience implementing custom ops in CUDA or low-level GPU kernel optimization

Research experience in ML model design

Experience with visual data (e.g. images/videos/3

DGS) and related vision algorithms

Experience with distributed training, large-scale data pipelines, inference serving

Excellent written and oral communication skills

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 $184,700 and $324,800, 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 Statement 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

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.