苹果Computer Vision/Machine Learning Intern (Multi-modality LLM)
任职要求
Minimum Qualifications • M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning • Rich experiences in video machine learning covering one of the topics: Multi-Modal LLM / Video Quality Assessment/ Post Training • Proven prototyping skills and proficient in coding (C, C++, Python) • Excellent written and verbal communications skills, be comfortable presenting research to l…
工作职责
The computer vision algorithm intern will work in a dynamic team as part of the Video Engineering org which develops multi-modality based video quality assessment technologies in Apple Platform. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands. Keywords: Multi-Modal LLM; Video Quality Assessment; Post-training
The computer vision algorithm intern will work in a dynamic team as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands. Keywords: Agentic AI; Multi-Modal LLM; Video Foundation Model; Video Generative Editing
The computer vision algorithm intern will work in a dynamic team as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands. Keywords: Object detection and segmentation; Multiple sensor fusion; Activity Recognition; Video Caption
NVIDIA is building the world’s most groundbreaking and state of the art computing platforms for the world to use. NVIDIA NVDLA HW team delivers high quality deep learning accelerator IP to NVIDIA produce lines. Our team’s work includes Deep Learning algorithm, HW architecture/design/verification and SW prototyping. We are seeking a talented Deep Learning Architecture Engineer to design architecture for innovative deep learning projects and groundbreaking applications such as Gaming, Robotics, and Autonomous Vehicles. You will work with a very brilliant, creative, and helpful team, for a very complex problem that will help to make the world better. What you’ll be doing: • Research, design, and develop architecture solutions of NVIDIA’s accelerating processor • Work on Deep-Learning architecture, algorithms, and software development • Develop function/performance/power models for NVDLA • Co-work with other teams to deliver high quality Deep-Learning processors