# Staff Machine Learning Engineer - Foundation Model

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

Canonical page: https://career.thegoodapps.co/jobs/cfa3fe26-def7-4d23-b3c7-d4ab1e3f9feb

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

- Employment type: full time
- Seniority: Staff
- Location: Santa Clara, CA
- Salary: 215280 – 364320 USD per year

## Summary

XPeng is seeking a machine learning engineer to develop vision-language-action foundation models for autonomous driving systems, working with massive datasets and distributed computing infrastructure. This role suits researchers and practitioners with deep learning expertise who want to shape next-generation self-driving technology.

_Our summary, not XPeng's wording._

## Skills named

PyTorch, Reinforcement Learning

## Required

- Master's degree in Computer Science, Electrical/Computer Engineering, or related field
- 3+ years deep learning research or productization experience
- PyTorch proficiency and transformer-based model design
- Large-scale pretraining or multi-modal modeling experience
- Representation learning, temporal modeling, or self-supervised/reinforcement learning knowledge
- Distributed training familiarity (DDP, FSDP)

## Nice to have

- PhD in CS/CE/EE or related field with 1+ years industry experience
- Publications in top-tier AI conferences (CVPR, ICCV, NeurIPS, ICLR, ICML, ECCV)
- Foundation model or end-to-end driving model development experience
- LLM/VLM architecture experience (ViT, Flamingo, BEVFormer, RT-2, GRPO)
- RLHF, DPO, GRPO, trajectory prediction, or policy learning knowledge
- Cross-functional collaboration experience with infrastructure, perception, and planning teams

Apply on XPeng's site: https://job-boards.greenhouse.io/xpengmotors/jobs/7813393002