Lead ML Architect, Vision-Language Driving Foundations

Xpengmotors; Santa Clara (CA); On-site; USD 244,140 - 413,160; Full time

Benefits offered by this job

Supportive environment

Infrastructures for ML development

Competitive compensation

Meals and fun activities

Job summary

Xpengmotors in Santa Clara is seeking a Senior Staff Machine Learning Engineer to lead the design of end-to-end VLA architectures and develop generative world models for autonomous vehicles.

The position requires 5-8 years of expertise in deep learning with a focus on innovative solutions for intelligent mobility. You’ll work in a supportive environment on cutting-edge technologies aimed at pioneering advancements in autonomous driving.

Competitive compensation, snacks, and benefits are offered.

Qualifications

• 5-8 years of expertise in Deep Learning, with experience in VLM, VLA, or Embodied AI.
• Proven experience in training Foundation Models at scale.
• Deep understanding of Sequential Decision Making or Policy Gradient methods.
• Mastery of PyTorch and expertise in distributed training.

Responsibilities

• Lead the design of end‑to‑end VLA architectures.
• Drive R&D in generative world models for simulation training.
• Apply Advanced RL to refine driving policies.
• Define scaling laws for driving foundation models.
• Lead adaptation strategies for global driving conditions.

Skills

Deep Learning

VLM

VLA

Embodied AI

Foundation Models

PyTorch

Tools

DeepSpeed

Megatron

Job description

Xpengmotors in Santa Clara is seeking a Senior Staff Machine Learning Engineer to lead the design of end-to-end VLA architectures and develop generative world models for autonomous vehicles.

The position requires 5-8 years of expertise in deep learning with a focus on innovative solutions for intelligent mobility. You’ll work in a supportive environment on cutting-edge technologies aimed at pioneering advancements in autonomous driving.

Competitive compensation, snacks, and benefits are offered.