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A leading company in digital note-taking is seeking a Junior AI Engineer to develop and scale AI systems. This role offers mentorship for motivated graduates, focusing on generative AI and multimodal technologies. Join a diverse team and contribute to innovative solutions that enhance productivity and creativity.
At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.
Dream big
—Be visionary, strategic, and open to innovation
Build great things
—Work in service of our users, always improving and pushing higher
Operate like an owner
—Take responsibility with bold decision-making and bias for action
Win like a sports team
—Be trusting and collaborative while empowering others
Learn and grow fast
—Never stop learning and iterate fast
Share our passion
—Share ideas and practice enthusiasm and joy
Be user obsessed
—Empathetic, inquisitive, practical
After our huge success with handwriting recognition in multiple languages, we are accelerating the research and development of cutting-edge features leveraging AI to create the best learning and note-taking platform. You will be part of the cross-functional engineering team, turning state-of-the-art research into a real product that impacts the lives of millions of users. They’re a very international team, with your future coworkers being based in 6 different countries across Europe and Asia. However, due to the asynchronous nature of working that Goodnotes has adopted, any time difference will not impact your work-life balance. During the natural overlap of hours within the team, you will collaborate with designers, ML and software engineers, QAs to review any blockers.
We designed this spec so that motivated graduates can grow into full-stack AI engineers under mentorship. If you bring strong fundamentals, proven curiosity through internships or projects, and bilingual communication skills, we’ll help you master large-scale deployment, agentic workflows, and advanced model optimization on the job.
Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.
Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.
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