> Markdown version of [/jobs/ext/4624764-computer-vision-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4624764-computer-vision-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Computer Vision/Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Deep Learning
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_69ab5b79b9b5983a685cc0de3e00c86e

## About the Role

* Rich experiences in 2D / 2.5D / Video computer vision algorithms covering one of the topics: Video Understanding / Video Foundation Model / Video-based transformer / Video Depth and Lighting
 * Solid understanding of state-of-the-arts in Video Understanding and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
 * Proven prototyping skills and proficient in coding (C, C++, Python)
 * Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
 * You should be motivated and results-oriented, BS and a minimum of 3 years relevant industry experience, * Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)
 * Expertise in working with at least one deep learning framework, for example, PyTorch, TensorFlow

## Description

The computer vision machine learning engineer will work in a dynamic team as part of the Video Computer Vision org which develops on-device computer vision and machine perception technologies across Apple's products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.