XPENG Motors
Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models
$244K–$413K
Santa Clara, CA +1 · Senior Staff · Full-time · Posted Mar 16, 2026
- Location
- Santa Clara, CA
Mountain View, California, United States - Experience
- 5–8 years in deep learning.
About the job
Architect and advance foundation models for L4 autonomous driving, enabling robust zero-shot decision-making across diverse global driving conditions.
What you'll do
- Lead end-to-end Vision-Language-Action architecture design and generative world-model development for closed-loop training and evaluation.
- Develop driving policies using reinforcement learning and imitation learning, with emphasis on long-horizon planning and multi-agent interactions.
- Set model scaling and data strategies, including curation, automated labeling, post-training, and adaptation to overseas road conditions.
What they ask for
- 5–8 years of deep-learning expertise, with a significant track record in VLM, VLA, or Embodied AI.
- Experience training and deploying foundation models (Transformers, LLMs) at scale.
- Deep understanding of sequential decision-making, world models, or policy-gradient methods.
- Mastery of PyTorch and expertise in distributed training.
Pay
$244,140-$413,160 USD base salary
Tools
VLM, VLA, Embodied AI, Transformers, LLMs, PyTorch, DeepSpeed, Megatron
AI focus
Develop VLA and world models for autonomous driving, including reinforcement-learning and imitation-learning policies, large-scale training, and global adaptation.
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