> Markdown version of [/jobs/ext/1241597-machine-learning-fellowship-6-12-months](https://www.wearedevelopers.com/jobs/ext/1241597-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).

---

# Machine Learning Fellowship (6-12 months)

- **Company:** Autos, Etc., Ltd
- **Location:** Belmont, CA, United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Neural Networks, Linux, Python (Programming Language), Machine Learning, Motion Planning, Network Architecture, Object Detection, Tensorflow, Pytorch, Deep Learning, Data Pipelines, Unsupervised Learning
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=63c0f54d4390d2fc

## About the Role

* Must be enrolled at a University/College or Graduation date must be within the last six months in a Masters or PhD program.
 * 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.

Competencies

Act as an owner
Be a pioneer
Excite customer
Handle complexity
Live integrity & compliance
Live passion

## 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.


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [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)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)