Collaborate with researchers to develop and deploy LLM training and serving solutions.
Analyze system bottlenecks and implement performance optimizations.
Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
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Currently pursuing an Undergraduate/Master's in Marketing or a related discipline.
Data Sensitivity: Strong analytical skills with proficiency in Excel (Pivot Tables, VLOOKUP). You should be comfortable processing data to draw actionable insights.
Operational efficiency: Ability to proactively identify workflow inefficiencies and develop structured, practical solutions to improve processes.
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Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Explore next-generation generative search and recommendation through full-format representation learning and SID modeling across videos, livestreams, products, and queries.
Design and develop generative algorithms tailored for high engaging, high conversion e-commerce visual creatives, solving challenges in identity-preserving and aesthetic style consistency to produce production-grade intelligent background synthesis,virtual try-on, and localised lifestyle scene generation.
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Support design implementation, using Vibe Coding to collaborate with engineering on fidelity and basic style adaptation issues.
Apply AI tools to boost design efficiency, translate design needs into clear technical specs, and streamline design‑development collaboration.
Currently pursuing an Undergraduate, Master’s, or PhD degree in Human‑Computer Interaction, Artificial Intelligence, Computer Science, Design, or a related technical discipline.
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Producing regular quality performance reports, highlighting trends, areas of concern, and performance against established KPIs
Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations
Providing ad-hoc analysis and insights to support business decision-making, ensuring safety operations strategies are data-driven and aligned with business priorities
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