> Markdown version of [/jobs/ext/2716656-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2716656-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).

---

# Machine Learning Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Confluence, Image Analysis, Data Structures, Python (Programming Language), Object Detection, Tensorflow, Pytorch, Deep Learning, Convolutional Neural Networks, Information Technology, Data Management
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-voxelcloud-3919485

## About the Role

* MS degree in computer science, engineering, or mathematics
 * 2-3 years of relevant experience in building deep learning solutions for computer vision problems
 * Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
 * Proficient in Python
 * Good CS fundamentals in data structures and algorithm
 * Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
 * Work well in teams and communicate ideas clearly, * PhD degree in computer science, engineering, or mathematics
 * 3-5 years of relevant experience in building deep learning solutions for computer vision problems
 * Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet).
 * Track record of publications in CV and medical image analysis is a plus
 * Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus
 * Prior experience with medial images is a plus

## Description

* Develop deep learning models for prototyping and production purposes according to product feature request
 * Design, implement and test model experiments using major deep learning frameworks
 * Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
 * Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
 * Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
 * Conduct methodology research in deep learning to drive scalable, real-time implementation


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [42 x 2 Canvases Later: Two Years, Two Minds, Many Lessons](https://www.wearedevelopers.com/videos/1458-42-x-2-canvases-later-two-years-two-minds-many-lessons)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Is it (F)ake?! Image Classification with TensorFlow.js](https://www.wearedevelopers.com/videos/1626-is-it-f-ake-image-classification-with-tensorflow-js)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [What’s in The box? – Unboxing The DeepFace](https://www.wearedevelopers.com/magazine/117-what-s-in-the-box-unboxing-the-deepface)
- [DeepSeek R1 vs ChatGPT o1: How Do They Compare?](https://www.wearedevelopers.com/magazine/542-deepseek-r1-vs-chatgpt-o1-how-do-they-compare)