Sr. Computer Vision and Machine Learning Engineer, Creativity Apps
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 24, 2026. Apple scores A on the Alion truth index.
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.
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.