AMDAI/ML Design Engineer Intern
任职要求
1. Pursuing Master’s degree in Computer Science, Electrical Engineering, or related field 2. Experience with Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). 3. Coursework/projects i…
工作职责
An exciting internship opportunity to make an immediate contribution to AMD's next generation of technology innovations awaits you! We have a multifaceted, high-energy work environment filled with a diverse group of employees, and we provide outstanding opportunities for developing your career. During your internship, our programs provide the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend amazing networking events, and much more. Being part of AMD means receiving hands-on experience that will give you a competitive edge. Together We Advance your career! JOB DETAILS: Location: Shanghai Onsite/Hybrid: This role requires the student to work full time (40 hours a week), either in a hybrid or onsite work structure throughout the duration of the co-op/intern term. Duration: January 1, 2026 - June 30, 2026 WHAT YOU WILL BE DOING: We are seeking highly motivated AI/ML Engineering Intern to join our AMD Research team. In this role: You will develop machine learning models to optimize GPU power/performance tradeoffs using real-world silicon data. We will train you to deploy models via MLOps pipelines for AMD’s internal tools. Your responsibility will include analyzing hardware telemetry data (power, thermal, clocks) to identify efficiency bottlenecks. You will collaborate with hardware engineers to validate models on next-gen AMD GPUs. Learning Outcomes: Master GPU-accelerated ML workflows. Gain hands-on experience with industrial-scale MLOps.
Qualifications: • 8+ years' experience in product and program management roles driving cross-team collaborations and high-impact projets. • Customer centric and business driven. Eager to help business teams win from competition. 3+ years’ experience in customer facing program management or technical account manager roles. • Knowledge of Data Center GPU architecture and operations. Familiarity and knowledge of AI workloads and SW stack. • You possess a technology background that enables you to understand the complexities of cloud architecture. • You possess and exemplify maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills. • You display a demonstrated ability to think broadly and strategically. You are comfortable in engaging senior leaders within OCI (from engineering to business) to drive results for core business initiatives. • You work well in ambiguity, can work with your team to dive into a problem and create a solution • Fluency in English and Mandarin. Preferred Qualifications • Knowledge of technical program management for Cloud Infra project. • Ability to communicate technical issues clearly to a diverse audience. • Ability to build and maintain healthy rapport with customer • Should have proactive, problem-solving mindset Why Join Us? • Be at the forefront of driving Oracle’s cloud growth strategy in APAC • Shape the direction and success of Oracle’s largest opportunities outside the US. • Collaborate with an elite team in a fast-paced, growth-oriented environment. • Take on a strategic and highly impactful role visible to OCI leadership. • Exposure to cutting-edge cloud and AI infra technologies.
• Perform AI/ML study in terms of wireless testing data and reports for lab/living field in various countries; • Generate Large Language Module and report by AI/ML technology;
ByteIntern：面向2027届毕业生（2026年9月-2027年8月期间毕业），为符合岗位要求的同学提供转正机会。 团队介绍：视频与边缘部门承载了字节跳动的媒体内容分发基建及技术中台，支持了字节全系产品，如抖音、今日头条、番茄小说、西瓜视频等APP的点播、直播、实时通信、图片等多媒体业务发展，同时将业务发展过程中沉淀下来的技术能力和工具，通过火山引擎对外输出，面向各行各业用户提供视频云产品和服务，愿景是为内外部业务伙伴提供最低成本、最优画质、最低延时、最安全可靠的富媒体内容分发解决方案，助力业务伙伴降本提效实现持续增长。 1、设计视频分析算法（如ROI分析、内容理解、特征提取等）及视频质量评估算法，参与数据库构建、算法设计/开发/优化等相关工作； 2、参与编码器的端到端（E2E）视频质量优化策略与解决方案的设计，结合视频分析、视频处理与编码算法（例如帧级码率控制等）进行系统优化； 3、将设计的算法应用于点播（VOD）/直播监控、数据分析及算法客观评估等场景； 4、与基础架构（Infra）团队及多媒体平台团队协作，将算法集成到生产工作流程中，并通过A/B测试验证算法效果与实际收益。
• Execute AI/ML projects, including developing domain-specific chatbots for wireless testing reports (from internal teams and third-party labs), as well as regulatory and standards documents from global authorities. • Research and apply innovative LLM techniques, such as workflow optimization, model architecture design, and prompt engineering, to improve efficiency and accuracy. • Perform data mining, analysis, and predictive modeling using advanced ML approaches to generate actionable insights. • Design, develop, and maintain web applications (front-end and back-end) to support AI/ML tools and data visualization. • Deploy, optimize, and maintain softwares and models in production environments, ensuring scalability, reliability, and performance.