微软Senior Software Engineer (AI)
任职要求
Bachelor, Master, PhD degree in CS/EE or related areas is required.3+ years of experience in machine learning, computer vision, VLM, image and video generation and editing. Experience with diffusion models and AI agent is a plus.Proven track record of leading and delivering successful projects in content generation and optimizationProficiency in programming languages with high performance such as: C/C++, Python, C#Excellent problem-solving skills and the ability to think creatively and strategicallyStrong communication skills and the ability to work productively in a collaborative, cross-functional team environment Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employ…
工作职责
Lead the development and evaluation of advanced algorithms and models for content generation, especially image and video processing and generation to ensure high quality and engaging content Optimize and scale existing systems to handle large volumes of data and ensure high performanceConduct research and stay up-to-date with the latest advancements in AIGC, computer vision to ensure our solutions are cutting-edgeAnalyze performance and identify opportunities based on offline and online testing, develop, and deliver robust and scalable solutions, make direct impact to both user and advertisers experienceCollaborate with cross-functional teams, including product managers, designers, and other engineers, to define and execute on the ad content generation strategy.
Design and develop AI-driven applications, delivering scalable, user-focused solutions across web and mobile platforms.Build and maintain robust, cloud-based architectures, ensuring seamless integration of front-end and back-end systems with AI models.Prototype and implement new features, leveraging analytics, user insights, and market trends to improve product quality and user experience.Collaborate with product managers, designers, and data scientists to align technical solutions with product strategies and business goals.Drive technical innovation by exploring new technologies and frameworks, ensuring system performance, maintainability, and scalability.Mentor and support junior engineers, fostering a culture of collaboration, learning, and continuous improvement.
A key part of NVIDIA's strength is our sophisticated analysis / debugging tools that empower NVIDIA engineers to improve perf and power efficiency of our products and the running applications. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high standards! This software engineering role involves developing tools for AI researchers and SW/HW teams running AI workload in GPU cluster.As a member of the software development team, we will work with users from different departments like Architecture teams, Software teams. Our work brings the users intuitive, rich and accurate insight in the workload and the system, and empower them to find opportunities in software and hardware, build high level models to propose and deliver the best hardware and software to our customers, or debugging tricky failures and issues to help improve the performance and efficiency of the system. What you’ll be doing: • Build internal profiling and analysis tools for AI workloads at large scale • Build debugging tools for common encountered problems like memory or networking • Create benchmarking and simulation technologies for AI system or GPU cluster • Partner with HW architects to propose new features or improve existing features with real world use cases
THE ROLE: We are currently looking for a highly experienced, dedicated Senior Software QA Engineer to join our team. In this capacity, you will play a key role in our company by leading the quality assurance efforts and maintaining the high quality of our software products. Your expertise in production processes, development of testing strategies, and staff supervision will be critical in ensuring our company’s success with outstanding software products. RESPONSIBILITIES: 1. Lead large complex projects and coordinate with teams to define and execute software quality assurance testing. 2. Drive the development of robust testing strategies and lead efforts in building a continuous integration and continuous delivery environment. 3. Review system requirements and identify testing strategies that align with the company’s quality goals. 4. Conduct thorough inspections of test cases, ensuring the functions of all systems operate properly. 5. Conduct AI test procedure, including designing evaluation metrics, curating validation dataset, analyzing individual model performance results and e2e AI application outcomes precisely. 6. Mentor and provide guidance to QA team members, and suggest improvements in automated testing processes. 7. Collaborate with engineering teams to thoroughly understand product architectures and come up with meaningful testing strategies. 8. Investigate customer problems referred by technical support and provide solutions.
This role requires a blend of skills in software engineering, machine learning, and operations to ensure the smooth functioning of ML systems in production environments. In this role you will: - Lead the team to design and implement automation for model training, testing, validation, and deployment - Collaborate with machine learning engineers to ensure efficient deployment and scaling of ML models - Implement monitoring and alerting systems to track model performance, system health, and data drift - Optimize compute resources for cost and performance efficiency - Manage model versions to ensure traceability and reproducibility