苹果Generative AI Engineer, Image/Video Restoration
任职要求
Minimum Qualifications • Education: Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. • Strong background in computer vision and deep learning, with proven experience in generative models (diffusion, GANs, transformers). • Proficiency in Python and deep learning frameworks (PyTorch preferred). • Experience with large-scale image/video datasets and distributed training (multi-GPU or multi-node). • Solid understanding of image and video restoration metrics (PSNR, SSIM, LPIPS) and perceptual evaluation. • Hands-on experience with video preprocessing, such as motion estimation and optical flow, frame alignment and stabilization, temporal consistency techniques, and video encoding/decoding. • Strong software engineering skills: clean code, Git, debugging, optimization. Pr…
工作职责
- Research, design, and implement generative AI models for image and video restoration (e.g., deblurring, denoising, super-resolution, inpainting, frame interpolation). - Build and optimize training pipelines for large-scale datasets, including preprocessing, augmentation, and distributed training. - Evaluate restoration performance using both objective metrics (PSNR, SSIM, LPIPS) and subjective/perceptual quality measures. - Develop scalable and efficient inference pipelines, optimizing for latency, throughput, and memory. - Stay current with the latest research in computer vision and generative AI, and translate novel ideas into practical solutions. - Collaborate with cross-functional teams to integrate restoration models into production systems.
• Design, train, fine-tune, and deploy generative models to solve practical challenges in image and video processing. • Collaborate with product and design teams to conceptualize and define new camera features powered by AI. • Partner with hardware, software, and firmware engineers to prototype, integrate, and optimize your algorithms for Apple’s unique silicon. • Engage directly with our silicon engineering teams to perform low-level neural network optimizations and influence future hardware design. • Drive projects from initial concept and research through to final integration and shipment in a future Apple product.
NVIDIA is now looking for LLM Train Framework Engineers for the Megatron Core team. Megatron Core is open-source, scalable, and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM) and Multimodal (MM) foundation model pretraining and post-training. Our GenAI Frameworks provide end-to-end model training, including pretraining, alignment, customization, evaluation, deployment, and tooling to optimize performance and user experience. Build on Megatron Core Framework's capabilities by inventing advanced distributed training algorithms and model optimizations. Collaborate with partners to implement optimized solutions. What you’ll be doing: • Build and develop open source Megatron Core. • Address extensive AI training and inference obstacles, covering the entire model lifecycle including orchestration, data pre-processing, conducting model training and tuning, and deploying models. • Work at the intersection of AI applications, libraries, frameworks, and the entire software stack. • Spearhead advancements in model architectures, distributed training strategies, and model parallel approaches. • Enhance the pace of foundation model training and optimization through mixed precision formulas and advanced NVIDIA GPU structures. • Performance tuning and optimizations of deep learning framework and software components. • Research, prototype, and develop robust and scalable AI tools and pipelines.
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
Location: Beijing THE ROLE: AMD is looking for an AI R&D intern to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD’s abilities to explore the highest quality, academic/industry-leading technologies. THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Research the latest advancements and technologies in Generative AI, more specifically image/video/world generation, MLLM, designing and developing innovative applications aligned with company needs. Study the SOTA generation algorithms and enhance the accuracy and performance of existing models. Explore optimized deployment approaches ensuring efficiency in production environments. Collaborate with teams, share best practices, and provide guidance and support on Generative AI technologies.