Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Role Overview

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike.

As a Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!

Responsibilities

The ideal candidate combines strong foundations in agentic workflows with hands-on experience building, evaluating, and deploying complex user-facing systems. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. You will contribute to the design and development of next-generation agentic features for Apple’s creative applications.

Requirements & Qualifications

Minimum Qualifications

MS in Computer Science, Machine Learning, or a related field, and 4+ years of industry experience delivering products in generative AI, machine learning, or computer vision.

Strong theoretical and practical knowledge of machine learning and deep learning.

Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and context management.

Hands-on experience building, training, and deploying transformer-based vision models, GANs, or related methods.

Strong programming skills in Python and/or C++ and a deep learning framework such as PyTorch, JAX, or TensorFlow. Creative problem solver with strong communication and collaboration skills. Committed to encouraging an open and inclusive work environment.

Preferred Qualifications

PhD in Computer Science, Machine Learning, or a related field. Experience deploying agentic systems to production, including work on AI reliability, safety, or benchmarking. Experience fine-tuning LLMs or training adapters for foundation models. Experience optimizing models for resource-constrained platforms, ideally with Core ML, Swift, and iOS/macOS. Strong patent and publication record at top conferences. Keen interest in the art and science of photography.

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 $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.

Application Instructions

Apply directly on Apple Jobs at Sr. Computer Vision and Machine Learning Engineer, Creativity Apps↗.

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