Machine Learning Engineer Intern - Auto-labeling
San Diego, CA
XPeng Motors
Welcome to the official website of XPENG Motors. Discover our newest models, customize your smart e-vehicle and drive today the car of tomorrow.- Develop algorithms for industry-level 3D reconstruction with massive data from surrounding cameras and LiDAR to facilitate self-driving autolabelling.
- Train large vision models to interpret reconstructed 3D scenes to pre-label multiple perception tasks including detection, segmentation and tracking.
- Work closely with upstream and downstream teams to deploy and maintain efficient auto-labelling pipelines to continuously generate ground truth.
- Explore new techniques and publications to address challenging problems in production.
- PhD or Master in computer science, electrical engineering, robotics, or other related fields.
- Familiar with geometry-based 3D reconstruction tools/methods such as SfM, MVS, Colmap. Background in computer graphics is a plus.
- Familiar with learning-based 3D reconstruction methods such as NERF, 3DGS, differentiable rendering. Experience in generative models such as GAN, diffusion model is a plus.
- Write clean and efficient code in Python. C++ is a plus.
- Master at least one deep learning framework such as TensorFlow, PyTorch. Experience in large-scale distributed training is a plus.
- A fun, supportive and engaging environment
- Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
- Opportunity to work on cutting edge technologies with the top talent in the field
- Competitive compensation package
- Snacks, lunches, and fun activities
Tags: 3D Reconstruction Autonomous Driving Computer Science Deep Learning Engineering Generative modeling Lidar Machine Learning NeRFs PhD Pipelines Python PyTorch R R&D Robotics TensorFlow
Perks/benefits: Competitive pay
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