Build, publish, and maintain OpenClaw skills — modular capability units used by hundreds of agents across the org to automate repetitive work and unlock new business capabilities
Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
Responsible for the design, development, and iteration of AI Agents in TikTok Shop business scenarios, covering the full cycle from requirement analysis to architecture design, development, and launch, delivering intelligent and efficient product experiences for merchants and users;
Responsible for the design, development, and iteration of AI Agents in TikTok Shop business scenarios, covering the full cycle from requirement analysis to architecture design, development, and launch, delivering intelligent and efficient product experiences for merchants and users;
Provision, configure, and manage cloud and hybrid infrastructure for AI workloads, including GPU compute, model serving environments, data storage, and networking.
Provision, configure, and manage cloud and hybrid infrastructure for AI workloads, including GPU compute, model serving environments, data storage, and networking.
ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.
Build and run the surfaces officers use daily. Streaming, approval interrupts, resumable sessions, and interfaces that stay readable when an agent is doing four things at once
Agents (nas.com/agents) is our AI agent platform for marketing teams. It connects ads, social, CRM, content, analytics, and transaction data into one marketing brain for each company. Agents then work on it 24/7: watching ad accounts and social channels, improving ad performance, monitoring reputation and competitors, and flagging what needs a human decision.
Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.