Job Description
XPENG, an innovative smart technology company, is seeking a Senior Machine Learning Engineer to join their team in Santa Clara, CA. This role focuses on developing cutting-edge deep learning algorithms for autonomous vehicles. The engineer will research, implement, and evaluate a unified end-to-end onboard model, integrating perception, prediction, and planning. They will collaborate with experts in computer vision, AI systems, and software engineering to enhance autonomous vehicle performance using real-world multimodal data.
Responsibilities:
- Research and develop deep learning algorithms for end-to-end onboard models.
- 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 or related field.
- Strong experience in applied deep learning.
- 1-3 years + of experience with DL frameworks such as PyTorch, Tensorflow.
- Strong Python programming experience with software design skills.
- Solid understanding of data structures, algorithms, and large-scale data processing.
- Excellent problem-solving skills.
The role offers: