> Markdown version of [/jobs/ext/4626074-ai-machine-learning-fellowship-6-12-months](https://www.wearedevelopers.com/jobs/ext/4626074-ai-machine-learning-fellowship-6-12-months). 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).

---

# AI/Machine Learning Fellowship (6-12 months)

- **Company:** Volkswagen Group of America
- **Location:** Belmont, CA, United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Artificial Neural Networks, Computer Vision, Data Warehousing, Linux, Python (Programming Language), Machine Learning, Motion Planning, Natural Language Processing, Network Architecture, Object Detection, Tensorflow, Systems Architecture, Pytorch, Deep Learning, Data Pipelines, Recurrent Neural Networks, Unsupervised Learning
- **Published:** November 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3e120628812bbc8c

## About the Role

* Must be currently enrolled at an accredited University/College in a Masters or PhD program, or your Graduation date must be within the last six months.
 * Must have a cumulative GPA of at least 3.0.
 * Strong Python programming skills.
 * Good experience using Linux.
 * Experience with deep learning frameworks such as TensorFlow and PyTorch.
 * Good knowledge of image processing and machine learning.
 * Independent work, initiative, motivation, ability to work in a team., * Experience with data gathering, data quality, system architecture, coding best practices.
 * Take initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environment.
 * Extracting high level logical structure from low level, multi-dimensional data.
 * Experience with Transformers, CNNs, RNN, LSTMs and the latest research trends.
 * Graphical Models.
 * Object Detection, NLP, Scene Understanding.
 * Passion for cars or physical products., Act as an owner
Be a pioneer
Grow personally
Handle complexity
Live integrity & compliance

## Description

* Driving data pre-processing including checking labels, formatting, etc.
 * Support project team in building data pipelines for training deep neural networks.
 * Benchmarking and reporting of various neural network models performance.
 * Research into suitable new network architectures to for time series prediction, and anomalies detection.
 * Research into suitable new network architectures to improve the perception of the environment with a focus on optical sensors.
 * Research on supervised and unsupervised learning methods to estimate road participants' depth, motion, and velocity.
 * Research on various neural networks for the interpretation of camera images (object detection, panoptic segmentation) and trajectory/motion planning.
 * Fusion of different neural networks to use shared resources to decrease memory and computation footprint.