美图Applied Researcher
任职要求
• Industrial research experience, either as a full-time employee or intern, with relevant projects in computer vision, computer graphics, or NLP. • For US Based Candidates: Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: • PhD in computer vision, computer graphics, NLP, or related areas. • Interested in and thoughtful about product impacts of AI technology • Solid engineering skills to implement ideas p…
工作职责
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. Role Overview: We are seeking Applied Researchers with relevant experience in image and video generation to join our AI Lab. Ideal candidates are highly self-motivated to advance the state-of-the-art in computer vision and generative AI. Through collaboration, we aim to make significant product impacts and conduct seminal research. This is an on-site role based in Bellevue, WA. We offer relocation assistance to new employees. Key Responsibilities: ●Research and develop state-of-the-art image and video generation models within specific domains ●Collaborate internally and externally to conduct seminal research to advance the frontier ●Serve as a mentor to teammates when necessary to collectively cultivate a strong technical team Basic
We are seeking students motivated to advance the state-of-the-art in computer vision and generative AI. Our projects will broadly focus on image/video generation and understanding, 3D generation and reconstruction. Through collaboration, we aim to make significant product impacts and publish seminal works in top-tier conferences. Key Responsibilities: 1. Conduct research and development in computer vision and generative modeling, with a focus on image and video generation and editing. 2. Implement and experiment with state-of-the-art methods and models. 3. Collaborate closely with researchers and engineers to explore new research directions and contribute to impactful product solutions. 4. Contribute to research publications in top-tier venues. Basic
We’re working on the next generation of recommendation tools and pushing the boundaries of accelerating model training and inference on GPU. You’ll join a team of ML, HPC and Software Engineers and Applied Researcher developing a framework designed to make the productization of GPU-based recommender systems as simple and fast as possible. What you’ll be doing: In your role as CUDA Engineer Intern you will be profiling and investigating the performance of optimized code together within our HPC team. Part of this job will be to perform tests, unit tests and validate the numerical performance and correctness of the code. You will discuss your approach and results together with our CUDA engineers.
负责根据整车体验需求、法规和平台化要求，定义整车功能和非功能需求； - 负责编制相关功能域的功能列表，功能需求（包括法规需求，使用场景等）以及功能实现系统级架构方案； - 负责设计子系统功能方案并编写子系统功能规范，定义系统功能间接口； - 负责设计SOA服务功能方案并编写SOA服务功能规范，定义SOA服务接口； - 对标主流车型，获取前瞻、主流的功能开发趋势； - 参与并支持整车网络架构设计； - 配合总线开发、线束原理、功能安全等进行相关专业设计。
• You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. • You will review business requirements and incorporate research to meet business goals. You’ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. • You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. • You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.