Senior Staff Machine Learning Engineer – Perception/ End-to-End

Job Description

XPENG, a smart technology company specializing in AI and autonomous driving, is seeking a Senior Staff Machine Learning Engineer. This role focuses on developing end-to-end onboard models for autonomous vehicles. The engineer will collaborate with a team of experts to enhance autonomous vehicle performance using real-world multimodal data.

Responsibilities:

• Research and develop deep learning algorithms for perception, prediction, and planning.
• Develop Vision-Language-Action (VLA) models for context-aware decision-making.
• Enhance online mapping, occupancy grid, and 3D detection models.
• Design and optimize efficient neural network architectures.
• Develop and scale an offline machine learning infrastructure.
• Deliver production-quality onboard software.
• Leverage real-world datasets to train and refine driving models.
• Design and analyze large-scale experiments.
• Collaborate with system software engineers to deploy deep learning models.
• Work cross-functionally with AI researchers and engineers.

Requirements:

• MS or PhD in Engineering or Computer Science with a focus on Deep Learning, AI, or related field.
• Strong experience in applied deep learning.
• 5-7+ years of experience with DL frameworks such as PyTorch, Tensorflow.
• Strong Python programming experience with software design skills.
• Solid understanding of data structures, algorithms, code optimization, and large-scale data processing.
• Excellent problem-solving skills.

The role offers:

• Bonus
• Equity
• Benefits