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# Machine Learning Research Engineer, Generative AI

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Apple IOS, Apple Mac Systems, Optical Character Recognition (OCR), Computer Vision, Unix, C++ (Programming Language), Computer Programming, Computer Engineering, Software Debugging, Information Extraction, Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, Toolchain, Speech Recognition, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Machine Learning Operations, Objective C++, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_eb671c8e5070cd12a347c591553573ec

## About the Role

* PhD or MSc in Computer Science, Computer Engineering or a closely related field.
 * Industry experience in building product features based on ML including generative models or multimodal LLMs.
 * Experience with image processing, computer vision, speech recognition, or natural language processing.
 * Proven track record of programming, debugging, and design skill., * Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift.
 * Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX.
 * Proficiency with Unix, iOS, or macOS development.
 * Excellent problem solving, critical thinking, and interpersonal skills.
 * Ability to produce creative and innovative solutions to challenging problems.
 * Enthusiastic about building end-to-end experiences using machine learning.
 * High-quality communication skills and ability to work through ambiguity.

## Description

As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems.