Senior Machine Learning Researcher - Handwriting at Goodnotes

This information is not specified in the job description.

The team is globally-distributed across Europe and Asia with an asynchronous working culture, so time zones will not impact work-life balance, and regular meetings occur during natural overlap hours.

Key skills include a strong foundation in Deep Learning and sequence modelling, deep knowledge in Handwriting Recognition, Handwriting Synthesis, Document Layout Analysis or related areas, research track record via publications or open-source contributions, proficiency in Python and ML frameworks like PyTorch, TensorFlow or JAX, plus excellent communication skills in English.

Goodnotes emphasizes values like dreaming big, building great things for users, operating as an owner, winning like a sports team through trust and collaboration, learning and growing fast, and sharing passion with enthusiasm.

A strong candidate is excited about researching state-of-the-art AI/ML models for handwriting recognition and related technologies, has the listed technical skills including deep learning expertise and a research track record, and even if they don't meet all criteria, they align with the role's focus on real-world product impact.