Senior Machine Learning Researcher

Senior Machine Learning Researcher - Handwriting 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. Our Values: Dream big —Be visionary, strategic, and open to innovationBuild great things —Work in service of our users, always improving and pushing higherOperate as an owner —Propel company success and impact with an entrepreneurial mindsetWin like a sports team —Be trusting and collaborative while empowering othersLearn and grow fast —Never stop learning and iterate fastShare our passion —Share ideas and practice enthusiasm and joy About the team: After our huge success with the latest AI releases, 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 a cross-functional engineering team, doing state-of-the-art research that transforms into real-world products, empowering millions of users in their study/work flows. We are a globally-distributed team spanning across Europe and Asia. Thanks to the asynchronous working culture Goodnotes has adopted, time zones will not impact your work-life balance. During the natural overlap of hours within the team, you will have regular meetings to coordinate work between members on the team. About the role: This is the role for you, if you’re excited to work on any of the things listed below: Research and develop state-of-the-art AI/ML models to serve millions of users. Push the boundaries of document analysis and recognition technologies, such as Handwriting Recognition, Handwriting Synthesis, Stroke Classification and Document Layout Analysis. Collaborate closely with a multidisciplinary team, including engineers, QA, and product designers, in a fast-paced environment to deliver features rapidly. The skills you will need to be successful in the above: Strong foundation in Deep Learning and sequence modelling, with experience applying them to real-world problems. Deep knowledge in Handwriting Recognition, Handwriting Synthesis, Document Layout Analysis and/or related areas. Research track record via publications and/or open-source contributions in Document AI or relevant fields. Strong grasp of computer science fundamentals with a robust background in software engineering. Proficiency in Python and at least one Machine Learning framework such as PyTorch, TensorFlow and JAX. Working knowledge of C++, Rust or Swift is a plus. Knowledge of model optimization for on-device deployment. Excellent communication skills in English. Even if you don’t meet all the criteria listed above, we would still love to hear from you Goodnotes places a lot of value on learning and development and will support your growth if needed. The interview process: An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you’d like to join Goodnotes A short Algo/Data structure interview with an Engineer An ML technical interview with one of our ML engineers. This is where you get to see what it would be like working at Goodnotes as well as the chance to ask any questions you may have about our ML R&D A call with your hiring manager. This is the person who will be managing you day to day, working on your growth and development with you as well as supporting you throughout your career at Goodnotes Values interview to align with the company culture with a few team members of the team you would be joining or a member of the leadership team. What’s in it for you: 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 Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here . Create a Job Alert Interested in building your career at Goodnotes? Get future opportunities sent straight to your email. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Where did you hear about this job opening? * If remote, which country would you be working from? * Will you need a visa sponsorship? * Select... What is your expected salary (please do not include this on your CV/resume)? * Please include your local currency, or the currency of the location you are open to moving to What is your notice period (in months)? * Please indicate your working preference Office-based in Hong Kong (WFH available) Office-based in London (WFH available) Fully remote in Europe Fully remote in Asia Choose all that apply.Please note: We can only offer remote roles in Europe or Asia Do you have any professional research experience in any of the following technologies? * 1. Handwriting recognition or synthesis 2. Document Layout Analysis, 3. Stroke Classification 5. None of the above Website LinkedIn Profile Candidate Demographic Questions Goodnotes is committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.To help us ensure a fully diverse, equitable and inclusive working environment, we invite you to fill out this voluntary survey so we can track and further our Diversity, Equity and Inclusion efforts. The information shared here cannot and will not affect your job application in any way. It’s also 100% anonymous, and is not linked to your name, identity or application. Select the gender that you most identify with: Select... Select your sex: Select... Select your sexual orientation: Select... Select the ethnicity that you identify with: Select... Select the race or ancestry that best describes you: Select... 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