> Markdown version of [/jobs/ext/4572217-staff-machine-learning-engineer-foundation-model](https://www.wearedevelopers.com/jobs/ext/4572217-staff-machine-learning-engineer-foundation-model). 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).

---

# Staff Machine Learning Engineer - Foundation Model

- **Company:** XPeng Motors
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Salary:** $215,280
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Language Modeling, Software Engineering, Pytorch, Large Language Models, Deep Learning
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-machine-learning-engineer-foundation-model-santa-clara-ca--336ee250-689e-481f-bdb5-0fe08e483cd5

## About the Role

Machine Learning, Autonomous Driving Systems, Artificial Intelligence (AI), Research & Development (R&D), Manufacturing, Customer Experience, Machine Learning, Software Engineering, Team Player, Scientific Research, Master in CS/CE/EE, or equivalent, with 5 + years of industry experience.
*
*
Good knowledge of PyTorch.
*
*
Knowledge of model training framework (e.g. PyTorch Lightning)
*
*
Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
*
*
Experience of using pytorch ddp for distributed training of models.
*, PhD in CS/CE/EE, or equivalent, with 3 + years of industry experience.
*
*
Strong publications records in top academic conferences or journals, e.g. CVPR, NeurIPS, ICML, ICCV, ECCV, ICLR
*
*
Experience in training large scale vision or language models
*
*
Previous experience in the autonomous driving industry.

## Description

Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities:
*
*
Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles.
*