Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Apple, Inc.

Seattle (WA)

On-site

USD 175,000 - 309,000

Full time

4 hours ago
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Benefits offered by this job

Equity programs
Discretionary bonuses
Health and dental coverage
Retirement benefits
Employee stock purchase plan
Relocation assistance

Job summary

Apple Inc. in Seattle, WA seeks a Sr. Computer Vision and Machine Learning Engineer for the Creativity Apps team to shape next-generation creative editing tools with pioneering vision models.

You will work with world-class creatives and engineers to deploy agentic features for Apple’s suite of creative apps, driving impact from concept to delivery in a highly visible role.

Qualifications

  • MS in CS, ML, or related field with 4+ years industry experience.
  • Strong knowledge of ML and deep learning.
  • Experience building and evaluating LLM/VLM-powered agents.
  • Proficient in Python and/or C++ with DL frameworks.

Responsibilities

  • Design agentic workflows to solve multi-step user problems.
  • Build state-of-the-art vision models from data collection to training.
  • Create evaluation frameworks for agentic workflows and benchmarks.
  • Partner with teams to integrate models into runtimes and orchestration.
  • Collaborate with cross-functional teams to deliver ML features for creators.

Skills

ML & CV
Python
C++
LLM/VLM agents
Transformer models
Communication
Team collaboration

Education

MS in Computer Science, ML, or related
PhD in CS/ML or related

Tools

PyTorch
JAX
TensorFlow
Core ML
Swift

Job description

Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Seattle, Washington, 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 $175,000 and $308,500, 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.

  • Apple shareholder participation through discretionary employee stock programs
  • Eligibility for discretionary restricted stock unit awards and purchase of Apple stock at a discount through the Employee Stock Purchase Plan
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses — including tuition
  • Discretionary bonuses or commission payments
  • Relocation

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.

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