Machine Learning Engineer, Computer Vision

Role Overview

We are looking for a Machine Learning Engineer with strong foundations in computer vision and

machine learning, and a practical mindset: you care about making models work on real data, in

real products. Our team builds foundational perception technologies. These models are built

once and reused by many experiences, across iPhone, iPad, Mac, HomeView and more. They

already power Apple Intelligence features such as Visual Intelligence and Clean Up in Photos.

Our work spans a wide range of models, from lightweight, task-specific vision models to

general-purpose vision-language models. In this role, you will build computer vision models and

VLMs that help Apple devices recognize and understand the objects around the user. You will turn recent research into models that ship on millions of devices.

Responsibilities

Design, train and improve computer vision and VLM models for object understanding and recognition. Make models robust to real-world conditions and across devices and fix failure modes on real data Define evaluations that reflect product quality, and use them to drive model decisions. Design models for on-device constraints (memory, latency, power).

Requirements & Qualifications

Minimum Qualifications

Ph.D. or Master's in Computer Science, Machine Learning, Computer Vision or a related field, or equivalent industry experience. Strong foundations in computer vision and deep learning. Track record of making models work in practice: end-to-end projects covering data, training and evaluation on real-world visual data. Proficiency in Python and PyTorch or an equivalent deep learning framework. Proficiency in using generative coding tools Rigorous experimentation: clear baselines, ablations and meaningful evaluation sets.

Preferred Qualifications

Publications in top computer vision or machine learning venues (CVPR, ICCV, ECCV, NeurIPS, ICLR), ideally with released code or work transferred to a product. Experience in representation learning, such as self-supervised learning, metric learning, retrieval or recognition. Experience applying machine learning in an industry or product setting. Experience with knowledge distillation or model compression. Familiarity with vision-language models.

Compensation & 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 $150,400 and $277,600, 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. 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.

Application Instructions

Apply directly on Apple Jobs at Machine Learning Engineer, Computer Vision↗.

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