施耐德AI Engineer

About Us Anker Innovations is a technology company dedicated to creating industry-leading smart devices for entertainment, travel, and smart homes. At the forefront of AI innovation, we develop reliable, high-quality AI applications to enhance the quality of care and provide exceptional user experiences. We are seeking driven individuals who are passionate about technology to help build cutting-edge, consumer-facing solutions. Job Summary We are seeking an AI Intern with a focus on JD-AI (Joint Deep AI) Engineering to join our dynamic team. In this role, you will assist in the design, development, and deployment of deep learning models for edge IoT devices. You will collaborate with AI engineers to optimize models and applications for real-time image and video processing on embedded systems. This internship provides a unique opportunity to gain hands-on experience with cutting-edge AI technologies in the rapidly evolving field of smart devices and IoT. Key Responsibilities - Assist in the development, testing, and optimization of AI models for tasks such as object detection, segmentation, tracking, and action recognition. - Contribute to the enhancement of model performance for improved customer satisfaction and operational efficiency. - Help implement AI model compression techniques to deploy models effectively on IoT embedded platforms. - Collaborate with an agile development team to meet project requirements and deadlines. - Write clean, maintainable, and scalable code with a focus on performance and extensibility. - Support the maintenance of organized technical documentation throughout the project lifecycle.

- 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.

We are looking for a Generative AI Intern Engineer to join the NVIDIA Developer Technology group (Devtech) and work with a team of experienced engineers on innovative uses of AI for games and content creation. The Devtech team works with NVIDIA researchers and leading game developers to bring cutting edge AI research from across NVIDIA and the industry to gamers and 3D professionals in high performance packages such as real-time inferenced graphics, physics and animations. What you’ll be doing: • Research and implement innovative generative AI algorithms for game engines and authoring tools, including real-time neural graphics, physics based animation and diffusion models. • Develop neural graphics, animation and physics models and maintain open-source projects for both game-making and user runtimes. Integrate them into mainstream game engines and DCC tools. • Use various optimization techniques, such as tensor fusion and quantization, to fit the AI models onto user devices and maximize the performance of inference for real-time gaming. • Collaborate with game developers on optimizations and improvements for specific GenAI applications. • Interact closely with the architecture and driver teams at NVIDIA in ensuring the best possible experience on current generation hardware, and on determining trends and features for next generation architectures.