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# Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Deep Learning, Information Technology, GPT
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/154c2ac9-f834-44f0-b125-c4294d54f608

## About the Role

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., 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.