XPENG · 1 week ago
Machine Learning Engineer Intern
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Responsibilities
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 prelabel 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.
Qualification
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Required
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.
Preferred
Background in computer graphics
Experience in generative models such as GAN, diffusion model
Experience in large-scale distributed training
Experience in C++
Benefits
Snacks
Lunches
Fun activities
Company
XPENG
XPENG is a leading tech company that designs, develops, manufactures, and markets intelligent mobility solutions.
Funding
Current Stage
Public CompanyTotal Funding
$6.41BKey Investors
Volkswagen GroupAgricultural Bank of ChinaXiaomi
2023-07-26Post Ipo Equity· $700M
2022-04-27Post Ipo Debt· $1.14B
2021-01-11Post Ipo Debt· $1.98B
Recent News
2024-06-04
2024-06-04
2024-06-04
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