Xpengmotors
Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models
Santa Clara, CA · Staff+ · Full-time
Sponsorship not specified$244k-$413kDetected 57 days ago
Machine LearningDeep LearningPyTorchNLPLLMsResearchLeadership
About the role
- With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
- As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior cloning to intelligent, zero-shot decision-making in diverse global markets.
- Our salary ranges are determined by role, level, and location.
Responsibilities
- Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
- World Model Development: Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.
- Global Generalization: Lead the model's adaptation strategy for overseas road conditions, ensuring robust performance across varying traffic laws and driving cultures.
- Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
- Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.
- We are building the next generation of L4 autonomous vehicles.
Requirements
- Proven experience in training and deploying Foundation Models (Transformers, LLMs) at scale.
- Mastery of PyTorch and expertise in distributed training (DeepSpeed, Megatron, etc.).
- A "Product-First" mindset: The ability to balance cutting-edge research with the deterministic requirements of L4 production vehicles.
- 5-8 years of expertise in Deep Learning, with a significant track record in VLM, VLA, or Embodied AI.
- Deep understanding of Sequential Decision Making, World Models, or Policy Gradient methods.
- What do we provide:
- A fun, supportive and engaging environment
- Infrastructures and computational resources to support your ML model development/research.
- Opportunity to work on cutting edge technologies with the top talent in the field.
- Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities
- The base salary range for this full-time position is $244,140-$413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Compensation
- Competitive compensation package
Benefits
- Moving beyond traditional modular stacks, we are developing large-scale Vision-Language-Action (VLA) models and World Models to handle the infinite long-tail scenarios of global driving.
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