Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock purchase plan

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. is seeking a Sr. Computer Vision and Machine Learning Engineer for the Creativity Apps team in Cupertino to shape next‑gen creative editing tools. You will design agentic workflows and build advanced vision models that power multi‑step user experiences for creators.

Collaborate with designers and engineers to deploy models, evaluate performance, and translate research into production features across iOS/macOS. Excellent communication and a passion for creative technology are essential.

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.

Responsibilities

• Design agentic workflows that use these models to solve multi-step user problems, including tool contracts, schemas, and orchestration logic.
• Build state-of-the-art vision models, from data collection to architecture design and training.
• Build evaluation frameworks for agentic workflows, covering task success metrics, benchmarks, and regression testing.
• Partner with client teams to integrate models and workflows into model runtimes and orchestration frameworks.
• Work with cross-functional teams to take ML-powered features for creators from concept to delivery.

Skills

Agentic workflows

Multi-step reasoning

Vision models

LLM/VLM-powered agents

Python

C++

Communication

Collaboration

Open & inclusive culture

Education

MS in Computer Science / Machine Learning / related field

PhD in CS / ML (preferred)

Tools

PyTorch

JAX

TensorFlow

Job description

Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Cupertino, California, United States Software and Services

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!

Description

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.

Responsibilities

• Design agentic workflows that use these models to solve multi‑step user problems, including tool contracts, schemas, and orchestration logic.
• Build state‑of‑the‑art vision models, from data collection to architecture design and training.
• Build evaluation frameworks for agentic workflows, covering task success metrics, benchmarks, and regression testing.
• Partner with client teams to integrate models and workflows into model runtimes and orchestration frameworks.
• Work with cross‑functional teams to take ML‑powered features for creators from concept to delivery.

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.

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.

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

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

Apple accepts applications to this posting on an ongoing basis.