# Senior Machine Learning Engineer - Foundation Model

Hiring organization: [XPeng](https://career.thegoodapps.co/organizations/xpeng)

Canonical page: https://career.thegoodapps.co/jobs/ec8b86ef-f9f4-4260-b6cc-4330b8e073bd

Listed on XPeng's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Santa Clara, CA
- Salary: 174720 – 295680 USD per year

## Summary

This role involves building and optimizing large-scale vision-language-action foundation models that form the core of XPENG's autonomous driving systems. You'll design multi-modal architectures, lead pretraining strategies on massive fleet data, and collaborate across research and infrastructure teams to deploy intelligent models for next-generation vehicles.

_Our summary, not XPeng's wording._

## Skills named

Fine-tuning, PyTorch, Reinforcement Learning, Vision Transformer (ViT)

## Required

- Master's degree or higher in Computer Science, Electrical/Computer Engineering, or related field
- 3+ years of deep learning research or productization experience
- Proficiency in PyTorch and transformer-based model design
- Experience with large-scale pretraining or multi-modal modeling
- Understanding of representation learning, temporal modeling, and self-supervised or reinforcement learning
- Familiarity with distributed training frameworks and large-batch optimization

## Nice to have

- PhD in CS/CE/EE or related field with 1+ years of industry experience
- Published work in top-tier AI conferences (CVPR, ICCV, NeurIPS, ICLR, ICML, ECCV)
- Experience building foundation models, end-to-end driving models, or LLM/VLM architectures (ViT, Flamingo, BEVFormer, RT-2, GRPO)
- Familiarity with RLHF, DPO, GRPO, trajectory prediction, or policy learning for control
- Cross-functional collaboration experience with infrastructure, perception, and planning teams

Apply on XPeng's site: https://job-boards.greenhouse.io/xpengmotors/jobs/7813395002