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Staff Machine Learning Engineer - Foundation Model

XPeng

Santa Clara, CA · full time · Staff

$215,280 – $364,320

Listed on XPeng’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

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. The full posting is on their site.

Skills this role names

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What they ask for

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

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