Mô tả công việc
VinBrain is a company funded by VinGroup, the largest conglomerate in Vietnam by market capitalization. Our mission is to perform cutting- edge research and development of AI, Machine Learning, and Deep Learning technologies and products that will lead to improve healthcare system and quality of life. At VinBrain, we believe the greatest promise of Big Data lies in healthcare. We believe that by solving unique and challenging problems at the intersection of (medical) Big Data, AI, IoT, and IoP (Internet of People), we can improve the outcomes for patients around the globe. We have assembled seasoned researchers, engineers, and entrepreneurs from world- class companies such as Microsoft, Amazon, Adobe and Google to build the platform and services to achieve this. If you are motivated to be part of something special and to be a catalyst for improving lives and healthier communities, we want to talk to you.
Who we are looking for: experienced frontend and backend engineers who will play a central role in building out both the large- scale intelligent products that runs in the cloud to improve patients and doctor experiences. As a member of our dynamic, agile team, you will have influence on defining product features, design and implement products features and drive operational excellence, and spearhead the engineering best practices that enable a high- quality product.
Optimize machine learning algorithms for runtime and integrate them into products
Familiar and growing your own expertise in machine learning
Collaborate effectively with product managers and applied scientists to build successful products
Understand clinician workflows, work closer with experts (doctors, specialists) and how our product can best fit into those workflows
Build software framework that optimize and reuse in development life cycle
Practice disciplined software engineering (e.g. automated testing, code reviews)
Design and implement core and software components for our system
Analyze and improve efficiency, scalability, and stability of various system resources
