Junior AI Engineer

Summary

Join Goodnotes, a company reimagining human-AI interaction, and become part of a cross-functional engineering team developing cutting-edge AI features for a leading note-taking platform. This role focuses on developing and scaling AI systems for tens of millions of users, building advanced RAG systems, and creating a novel medium combining multimodal LLMs and freeform note-taking. You will collaborate with designers, ML and software engineers, and QAs. The position is ideal for motivated graduates seeking to grow into full-stack AI engineers under mentorship. Goodnotes offers a fast-paced, multidisciplinary environment with opportunities for rapid feature shipping and significant professional development.

Requirements

• Demonstrate academic excellence in a BSc or MSc in Computer Science, Electrical Engineering, Mathematics, or related fields
• Complete internship(s) or substantial side project(s) in generative AI (e.g., fine-tuning small LLMs, RAG, prompt-engineering chatbots, etc.)
• Achieve professional fluency in Mandarin Chinese and English – able to read technical papers, write documentation, and communicate with cross-regional teams
• Possess a solid grounding in data structures, algorithms, and software engineering best practices
• Be proficient in Python for ML/AI prototyping
• Show exposure to at least one additional language (e.g., Java, Swift, or C++) – coursework or hobby project is acceptable
• Demonstrate comfort using Git and containerizing projects with Docker
• Deploy at least one personal or school project to a public cloud (AWS / GCP / Azure) or platform-as-a-service (e.g., Render, Vercel)
• Show a basic understanding of transformer internals and how attention mechanisms scale
• Be eager to pair with senior engineers, give & receive feedback in code reviews, and iterate quickly
• Provide evidence of self-learning (courses, Kaggle comps, open-source contributions)

Responsibilities

• Develop and scale agentic and multimodal AI systems to tens of millions of users
• Develop and scale an advanced RAG system for question answering, summarization, self-learning, and AI coediting over handwritten and PDF documents
• Build a novel medium combining multimodal LLMs and freeform notetaking technology to radically transform how people engage with their information
• Productionize LLM pipelines to build an AI-first user experience GoodNotes
• Work in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Preferred Qualifications

• Have coursework or hackathon experience with multimodal LLMs (text-to-image, speech, vision-language)
• Show exposure to Kubernetes or serverless frameworks for hobby deployments

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