Machine Learning Tech Lead - Math AI
To see similar active jobs please follow this link: Remote Development jobs
We want to make work and study more efficient and enjoyable, by providing the best digital paper solution possible. We plan to be the go-to tool for all forms of notes. Our digital paper and learning ecosystem inspires anyone to take notes, share what they know, collaborate with others, and learn as a community.
Our Values:
Dream big —Be visionary, strategic, and open to innovation Build great things —Work in service of our users, always improving and pushing higher Take ownership —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
About the team:
AI team in Goodnotes is looking to transform education and productivity using the latest technologies. We are working on helping students and teachers learn and teach more efficiently, and aim to achieve this by developing tools such as AI tutors, Classroom AI and more foundational technologies like subject-oriented handwriting recognition. You will join a distributed team across Europe and Asia focusing specifically on AI tutoring in the math area. You will work alongside other ML engineers, as well as iOS engineers, backend engineers, QAs and designers to build and improve our new suite of AI features. ML part of the team focuses on developing proprietary technology for math AI tutor, including math solvers and math checkers.
About the role:
We are seeking an experienced and passionate ML Engineer to lead our Math AI efforts. This person will work on designing and developing new algorithms for math checkers and math solvers, as well as leverage any existing state-of-the-art technologies in the field of AI for math. The role would also involve leading and mentoring a small team of ML Engineers working on the same set of projects. This is the role for you, if you’re excited to work on the things listed below:
Design, develop and implement Math AI features in Goodnotes
Transform the way students learn natural sciences, starting with math
Collaborate with cross-functional teams including designers, PMs and other engineers to drive the vision of the project
Rapidly prototype new user experiences
Stay abreast of the latest advancements in the field of AI, especially related to math functionalities
Drive the project management and mentor more junior members of the team
Engage in user research and feedback sessions to refine and enhance the user experience.
The skills you will need to be successful in the above:
2+ years of experience in the development of math AI features, including math solvers and/or math checkers
7+ years of experience in machine learning engineering, either research or development
Strong understanding and experience with Computer Algebra Systems (e.g. Giac)
Experience with language models, both smaller LMs (e.g. BERT) and large language models (LLM)
Experience with the development of math-specific handwriting recognition systems
Experience with driving data collection, both manual and synthesized, as well as with evaluation methods
Excellent problem-solving skills and ability to think critically.
Desire to work in a fast-paced, collaborative environment.
Excellent communication skills, both verbal and written.
Experience working on productivity or education software is a plus
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
CAS Background Assessment Interview: They want to hear about your experience to assess your suitability for this role
Computer Science fundamentals + Coding Interview: This is one of the technical interviews to assess your grasp over fundamental concepts in Computer Science as well as practical coding
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
Eventual interview with Leadership based on seniority
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 and London offices every 2 years
Company-wide annual offsite (we met in Portugal in 2023 and Bali in 2024)
Flexible working hours and location
Medical insurance for you and your dependents
About the job
Machine Learning Tech Lead - Math AI
To see similar active jobs please follow this link: Remote Development jobs
We want to make work and study more efficient and enjoyable, by providing the best digital paper solution possible. We plan to be the go-to tool for all forms of notes. Our digital paper and learning ecosystem inspires anyone to take notes, share what they know, collaborate with others, and learn as a community.
Our Values:
Dream big —Be visionary, strategic, and open to innovation Build great things —Work in service of our users, always improving and pushing higher Take ownership —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
About the team:
AI team in Goodnotes is looking to transform education and productivity using the latest technologies. We are working on helping students and teachers learn and teach more efficiently, and aim to achieve this by developing tools such as AI tutors, Classroom AI and more foundational technologies like subject-oriented handwriting recognition. You will join a distributed team across Europe and Asia focusing specifically on AI tutoring in the math area. You will work alongside other ML engineers, as well as iOS engineers, backend engineers, QAs and designers to build and improve our new suite of AI features. ML part of the team focuses on developing proprietary technology for math AI tutor, including math solvers and math checkers.
About the role:
We are seeking an experienced and passionate ML Engineer to lead our Math AI efforts. This person will work on designing and developing new algorithms for math checkers and math solvers, as well as leverage any existing state-of-the-art technologies in the field of AI for math. The role would also involve leading and mentoring a small team of ML Engineers working on the same set of projects. This is the role for you, if you’re excited to work on the things listed below:
Design, develop and implement Math AI features in Goodnotes
Transform the way students learn natural sciences, starting with math
Collaborate with cross-functional teams including designers, PMs and other engineers to drive the vision of the project
Rapidly prototype new user experiences
Stay abreast of the latest advancements in the field of AI, especially related to math functionalities
Drive the project management and mentor more junior members of the team
Engage in user research and feedback sessions to refine and enhance the user experience.
The skills you will need to be successful in the above:
2+ years of experience in the development of math AI features, including math solvers and/or math checkers
7+ years of experience in machine learning engineering, either research or development
Strong understanding and experience with Computer Algebra Systems (e.g. Giac)
Experience with language models, both smaller LMs (e.g. BERT) and large language models (LLM)
Experience with the development of math-specific handwriting recognition systems
Experience with driving data collection, both manual and synthesized, as well as with evaluation methods
Excellent problem-solving skills and ability to think critically.
Desire to work in a fast-paced, collaborative environment.
Excellent communication skills, both verbal and written.
Experience working on productivity or education software is a plus
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
CAS Background Assessment Interview: They want to hear about your experience to assess your suitability for this role
Computer Science fundamentals + Coding Interview: This is one of the technical interviews to assess your grasp over fundamental concepts in Computer Science as well as practical coding
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
Eventual interview with Leadership based on seniority
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 and London offices every 2 years
Company-wide annual offsite (we met in Portugal in 2023 and Bali in 2024)
Flexible working hours and location
Medical insurance for you and your dependents