美图Computer Vision Algorithm Intern (Image / Video Human Body Aesthetic Enhancement)

Location & Duration Sydney Central; 6-12 months Role Overview You will participate in the research and development of human aesthetic enhancement and spatiotemporally consistent editing technologies at Meitu. You will work directly with real, product-scale datasets and state-of-the-art algorithms. Depending on the internship track, your work may include (but is not limited to): ·      Fine-grained and controllable image / video aesthetic enhancement ·      2D / 3D human tracking and 3D reconstruction ·      Regression, reconstruction, and structural constraints of digital human models (e.g., SMPL) This role offers the opportunity to produce both production-ready technical outcomes and high-quality academic research results. It is a research-and-engineering-oriented internship, ideal for candidates with strong interest and capability in 3D vision fundamentals, human visual quality enhancement, video generation models, and 3D human modelling. Key Responsibilities ·      Research and implement algorithms related to depth estimation, multi-view generation, and 2D / 3D tracking with spatiotemporal reconstruction ·      Follow state-of-the-art 3D vision papers and open-source projects; reproduce experiments and adapt methods to practical applications ·      Collaborate with data teams to refine the 3D aesthetic development pipeline, improve data collection and quality evaluation, and establish foundations for high-quality scaling ·      Explore the integration of human structure priors (Skeleton / SMPL / Mesh) with multi-modal cues such as depth, normals, and optical flow in reconstruction and generative models ·      Assist in building data processing, evaluation, and visualization tools (e.g., immersive video aesthetic editing) to support rapid iteration ·      Enable high-quality projection of 3D features into 2D visual outputs, with the goal of producing A-level or above academic publications

NVIDIA MMPLEX team is in Shanghai with more than 300 team members. We deliver cutting-edge IP solutions to multiple NVIDIA product lines, for example: datacenter, GeForce, automotive, networking etc. Our IPs include micro-processor, security, DL/CV accelerators, display, video encoder/decoder, image processor etc. We are looking to grow our teams with the smartest people in the world, join us if you want to learn about world’s leading IP technology and development process.  What you’ll be doing: • Work with senior video arch engineer on video codec, image/video processing or computer vision-related domains, using either traditional or DL-based approaches. • Algorithm/architecture study, prototyping and optimization in the above domains. • Co-work with hardware/software engineers on implementation of the new algorithm/architecture.

美图影像研究院(MT Lab)专注于计算机视觉、深度学习与计算机图形学等前沿算法的研究与应用。我们为美图产品提供核心技术支持。团队汇聚顶尖人才，致力于推动影像技术的突破，让科技与艺术美好交汇。 MT Lab focuses on R&D of cutting-edge algorithms in CV, deepearning, and computer graphics. We provide core technicalsupport for Meitu products.Our team of top talent is dedicated to advancing imagingtechnology, beautifully merging science and art. 岗位名称：计算机视觉实习生 工作地点：深圳 主要岗位方向： ● 计算机视觉和机器学习 ● 多模态的图片及视频生成 ● 数据分析，质量监控和数据处理 岗位职责： ● 搭建并运行生成式模型的推理流程，用于多样化视频数据的生成 ● 参与设计和渲染合成视频场景，提升数据的多样性与覆盖度 ● 开发自动化脚本和工具，支持数据生成、处理和结构化管理 ● 协助构建高质量视频数据集，为后续的模型训练与评估提供支持 ● 团队成员协作，解决模型与数据相关的问题，并进行实验性分析与对比

Summary of the position This position in the Camera Engineering Team will focus on new camera tests and image quality by a variety of new technologies and lab automation. The engineer will be responsible for the design, development, and optimization of image processing and computer vision algorithms, including image enhancement, object detection, tracking, image quality tool development, participate in the integration of machine learning models (e.g., deep learning-based image recognition), and conduct algorithm testing, debugging, and performance evaluation to ensure the image quality of Tesla’s camera systems. This role involves collaboration with designers, engineering, manufacturing and requires the ability to distill highly technical information and effectively communicate with other teams and management. Minimum