We are looking for a Machine Learning Lead to work with our product-driven research team to create a magical note-taking experience for our users. Someone who loves making things fast algorithmically and by utilising the latest machine learning techniques to drive our Computer Vision and Natural Language Processing initiatives. Short term challenges include implementing handwriting recognition papers then modeling, training, and deploying machine learning models to mobile devices
What you’ll achieve
Make GoodNotes smarter enough to understand documents, handwritings and shapes
Make GoodNotes the best place for storing and retrieving knowledge
Train machine learning models to be more accurate and performant on computing clusters
Brainstorm new ideas to tackle edge cases for ML models
Collaborate with the software engineering teams for model deployment
Research new models and improvements from academic and industry knowledge
Find new sources of data to feed your models
Manage machine learning projects
What you need to be successful
Led product development from inception to million of users
Solid mathematical foundation of deep learning techniques
Excellent programming and debugging skills on deep neural networks and linear algebra
Love for writing efficient and maintainable code
Proven track record of researching, inventing and shipping complex machine learning algorithms, big plus for computational geometry and machine learning algorithms
Less experienced candidate will be considered as Machine Learning Engineer.
Apply Now:
• You'll receive a competitive compensation and meaningful equity along with a chance to make significant contribution to a product people already love.
• Most of our positions are eligible for remote work, provided you have at least 3 hours of overlap with the team in the office every weekday between 10 AM and 6 PM. Please indicate your preference in your application form.
• You're also welcome to join us in our Hong Kong or London office, we sponsor visas and relocations.
• We take care of you and your loved ones with medical insurance and flexible working hours including two optional work-from-home days!
• Join our best company tradition, the annual off-site. Check out our pictures from team outings and more on our Instagram.
