Machine Learning Engineer - Remote

Overview

We want to make work and study more efficient and enjoyable, by providing the best digital paper solution possible. We plan to be the go-to tool for all forms of notes. Our digital paper and learning ecosystem inspires anyone to take notes, share what they know, collaborate with others, and learn as a community

In Short

• Developing and scaling machine learning applications to tens of millions of users
• Building conversational RAG systems for question answering, summarization, and self-learning over handwritten and PDF documents
• Building a novel platform using GenAI to radically transform how people study and work
• Fine-tuning and prompting large language models to build an AI-first user experience GoodNotes
• Working in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Requirements

• Hands-on experience in building and deploying machine learning systems at scale in production
• Strong experience with RAG systems and agentic workflows with LLMs, preferably with some experience with multimodal LLMs
• Strong understanding of computer science fundamentals and a solid background in software engineering
• 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
• Deep knowledge in one or more of the following ML subfields: classical and neural information retrieval, vector search, question answering, transformer-based language modeling
• Mastery in Python and at least one of the following programming languages: Java/Swift/C++
• Interested in advancing innovation in education

Benefits

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