小米AI for Materials 实习生

职位描述 负责AI for Materials和/或各个前沿材料研发方向，涵盖电池、光电、高分子、金属、无机非金属等方向，成为集团内的材料专家角色。 岗位职责 1. 领导集团在前沿材料方向的战略规划和研发，规划集团在AI for Materials领域的战略与推进方向； 2. 与团队成员紧密合作，规划并实施从分子和材料设计、合成、结构表征到应用产品验证的全链条技术方案； 3. 与产品部门团队紧密合作，成为材料方向的专业顾问，将实验室科研突破快速推向原型验证、中试及产业化阶段； 4. 与其他方向技术专家协作，构建技术专利池，建立集团材料方向的社会影响力。

We are seeking a dynamic and technically adept Senior Trainer to empower both our internal teams and external partners for multinational companies (MNCs) in China . In this role, you will be the catalyst for building AI and cloud competency, driving the adoption of Alibaba Cloud's cutting-edge technologies. Your primary focus (50-70%) will be on elevating the skills of our internal staff, with the remaining (30-50%) dedicated to enabling key customers and partners. Key responsibilities include ● Drive Internal Capability: Design, develop, and deliver high-impact training programs focused on Alibaba Cloud's AI (e.g., Qoder, PAI), data, and core cloud technologies to build a world-class internal technical team. ● Enable External Partners: Conduct workshops, labs, and certification training for strategic customers and partners to accelerate their adoption of our solutions and support business opportunity development. ● Develop & Localize Content: Collaborate with global product experts and vendors to create, adapt, and maintain accurate, engaging, and locally relevant training materials for the Chinese market. ● Build a Training Ecosystem: Lead the development and rollout of a formal Train-the-Trainer program to scale our training capacity by certifying talent. ● Foster Technical Communities: Build and nurture relationships with technical influencers and communities to broaden market demand and gather critical feedback on our technology. ● Support Full Lifecycle Engagement: Provide end-to-end training support for key accounts, from initial needs assessment through to post-training follow-up and satisfaction measurement. Key results include ● Successful delivery of internal and external training sessions against agreed KPIs. ● High customer and stakeholder satisfaction scores from training engagements. ● Concrete support provided for the collection and maturation of new business opportunities. This role is ideal for a passionate educator and technologist who thrives on sharing knowledge and is excited to shape the future of cloud and AI skills.

- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice. - You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from ML engineers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.

We’re looking for experienced Strategy Consultants to work closely with senior executives, government stakeholders, and internal delivery teams on complex AI transformation initiatives. In this role, you’ll help shape large-scale AI programs—from defining the right problems to designing executable strategies that translate vision into real outcomes. You will operate at the intersection of business strategy, technology, and execution, partnering with solution architects and delivery teams to ensure that strategies are actionable, commercially sound, and deliverable. - Work directly with senior client stakeholders to understand strategic priorities, organizational challenges, and transformation goals. - Define AI transformation strategies and roadmaps, including platform, capability, and use-case planning. - Translate complex business and policy objectives into structured, executable programs. - Develop executive-level presentations and decision materials for boards, steering committees, and senior leadership. - Collaborate with solution architects, delivery leads, and commercial teams to ensure alignment between strategy, technology, and execution. - Support business case development, value modeling, and phased investment planning. - Capture insights and best practices to continuously improve internal methodologies and playbooks.