Senior Machine Learning Engineer, LLM

June 25

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Description

β€’ Develop machine learning applications for tens of millions of users β€’ Build conversational RAG systems for question answering, summarization, and self-learning β€’ Building a novel platform using GenAI for studying and working β€’ Fine-tuning large language models to create an AI-first user experience β€’ Collaborate with a cross-functional team to rapidly ship features

Requirements

β€’ Hands-on experience in building and deploying machine learning systems at scale in production β€’ Strong experience with RAG systems and agentic workflows with LLMs, preferably with some experience with multimodal LLMs β€’ Strong understanding of computer science fundamentals and a solid background in software engineering β€’ Experience with any of the following software ecosystems: vector databases (eg. Pinecone, Milvus), ML platforms (eg. Metaflow, ClearML), cloud ML providers (AWS / Azure, GCP), LLM frameworks (eg. LangChain/LlamaIndex), HuggingFace, CoreML β€’ Deep knowledge in one or more of the following ML subfields: classical and neural information retrieval, vector search, question answering, transformer-based language modeling β€’ Mastery in Python and at least one of the following programming languages: Java/Swift/C++ β€’ Interested in advancing innovation in education

Benefits

β€’ Meaningful equity in a profitable tech-startup β€’ Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness β€’ Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite β€’ Company-wide annual offsite β€’ Flexible working hours and location β€’ Medical insurance for you and your dependents

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