Intern, AI & Data Science

About The CompanyHeadquartered in Hong Kong, Everest Global (EVG) is a technology venture building group driving mass adoption since 2018. With a global team of 100 operators, engineers and strategists, we have built and launched a diverse portfolio of products for the future of digital interaction across use cases, such as Edgen, Aspen Digital, Rexy, Last Odessey and BlockTempo. As an early investor and lead advisor, we have contributed to unicorns and 100+ defining projects such as Canton, Kraken, Upbit, The Sandbox, Animoca, Flow, Celestia, Wormhole, Berachain, Pudgy Penguins, Immutable, Infinex, Movement, Eclipse, Bored Ape and more.We pride ourselves on being a bridge between mainstream business leaders, cultural icons, and innovators. By bridging traditional spheres with the dynamic tech community, we're able to build impactful products for today while pushing boundaries for tomorrow. For more information, please visit https://www.evg.co/The RoleAt EVG, you will skip theoretical exercises to build, fine-tune, and deploy production-grade AI systems, agentic workflows, and data pipelines directly across the Everest Labs ecosystem.The CommitmentTime: 15–25 hours per week (flexible around coursework or lab schedules).Format: Hybrid (in-office collaboration sessions at EVG Labs).Focus: Agentic systems, fine-tuning LLMs, vector search, and automated data pipelines.What You’ll DoDeploy Production AI: Architect and benchmark LLM-powered applications, autonomous agents, and RAG pipelines for real-world market intelligence and platform tools.Process High-Leverage Data: Build robust ingestion and processing pipelines handling complex structured and unstructured datasets across our ecosystem.Optimize System Performance: Evaluate model latency, retrieval accuracy, and cost-efficiency using real enterprise user feedback.Who You ArePursuing a degree (Undergrad through PhD) in Computer Science, Data Science, Mathematics, or a Quantitative field.Hands-on experience with Python, PyTorch/TensorFlow, modern LLM frameworks (LangChain, LlamaIndex, AutoGen), and vector databases.Biased toward shipping functional code rather than running isolated, theoretical tests.Return Offer High-performing interns will be eligible for a full-time returning offer upon graduation.