Staff ML Engineer: Vision-Language-Action for Autonomous Driving

XPENG; Santa Clara (CA); On-site; USD 215,280 - 364,320; Full time

Benefits offered by this job

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Access to massive real-world data and industry-scale compute

Job summary

XPENG, based in Santa Clara, California, is looking for a full-time Machine Learning Engineer / Research Scientist to develop the next-generation Vision-Language-Action Foundation Model for autonomous driving systems. You will work with leading researchers and engineers to design and implement large-scale multi-modal models that enhance vehicle intelligence.

The innovative role requires a strong background in deep learning and proficiency in tools like PyTorch, with opportunities to impact the future of intelligent mobility.

Qualifications

• Master's degree or higher in a relevant field.
• 3+ years of experience in deep learning research.
• Strong proficiency in PyTorch and modern transformer-based models.

Responsibilities

• Design large-scale multi-modal architectures for autonomous driving.
• Develop pretraining and fine-tuning strategies using fleet data.
• Collaborate with engineers to scale training across thousands of GPUs.

Skills

Proficiency in PyTorch

Deep learning research

Distributed training

Multi-modal modeling

Education

Master’s degree in Computer Science or related field

Tools

Transformers

Large-scale training frameworks

Job description

XPENG, based in Santa Clara, California, is looking for a full-time Machine Learning Engineer / Research Scientist to develop the next-generation Vision-Language-Action Foundation Model for autonomous driving systems. You will work with leading researchers and engineers to design and implement large-scale multi-modal models that enhance vehicle intelligence.

The innovative role requires a strong background in deep learning and proficiency in tools like PyTorch, with opportunities to impact the future of intelligent mobility.