Our iOS app has been featured by Apple and loved by millions and we are now preparing to launch it on other platforms. You will build and own the entire lifecycle of new user-facing features, often leveraging technologies unique to the latest frameworks. This is a not-to-be-missed opportunity to work with some of the best Engineers.
Our Core Values:
- Users come first
- Build a better product, not just different
- Do less but get more done
- Always be learning
Do you love making things fast algorithmically and by utilising the latest machine learning techniques? Create a magical note-taking experience for our users by driving 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
What you need to be successful
- Worked on 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
- Ability to design and execute on research agenda
- Good taste as a maker
Less experienced candidate will be considered as Machine Learning Engineer.
- 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!
We are recruiting multiple positions at the same time, welcome to apply
Machine Learning Engineer, OCR - Computer Vision - NLP
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